You desire impactful work. You're RGA ready RGA is a purpose-driven organization working to solve today's challenges through innovation and collaboration. A Fortune 500 Company and listed among its World's Most Admired Companies, we're the only global reinsurance company to focus primarily on life- and health-related solutions. Join our multinational team of intelligent, motivated, and collaborative people, and help us make financial protection accessible to all. A member of Model Risk Management team, the Senior Data Scientist, contributes to the implementation of second line enterprise-wide model risk management (MRM) governance framework with a focus on artificial intelligence (AI) and predictive models. This role will also perform model validation and risk assessment of AI and predictive models. This role will involve frequent communication with model owners within the business units, as well as with model risk governance groups and other key stakeholders. What you will do <ul><li>Conduct model validation and perform model risk assessment for AI and predictive models, working in collaboration with functional associates. This includes designing model test plans using R and Python code for API and web access. Support the evaluation, monitoring, reporting of overall model risk exposure for RGA, identify trend and mitigation opportunities.</li><li>Executes all activities related to model risk oversight to monitor the use of AI and predictive models at RGA supported by the model risk policy and assessment plan.</li><li>Assist in development and implementation of the enterprise Model Risk Management (MRM) framework and MRM strategy, with a focus on AI and predictive models.</li><li>Collaborate with business units to create awareness of the model risk framework and its implementation in order to maintain high engagement with model owners, first line risk officers and other stakeholders.</li><li>Support the development of operational risk quantification methodology and process, including related socialization to ensure the methods are understood and used appropriately.</li><li>Maintain regular and predictable attendance.</li></ul> Qualifications <ul><li>Bachelor's Degree in Arts/Sciences (BA/BS) Math, Statistics, Actuarial Science, Computer Science, or related field required (graduate Master's degree preferred)</li><li>Minimum of 5 years of software development experience, with familiarity developing statistical models for insurance or related applications required, and</li><li>1 or more years of statistical on-the-job modeling experience (not exam based) for insurance or related applications (Regression, Decision Trees, Time Series, etc.) required (3+ years would be desired), and</li><li>Statistical programs (ex.: R, Python), spreadsheets skills (Excel/VBA) and database applications (Oracle, SQL or equivalent technology) - Technical Skills - Intermediate Proficiency required</li><li>Machine learning models / concepts - Technical Skills Upon Hire - Beginner Proficiency required</li><li>Predictive model knowledge, including statistical concepts for feature engineering, model diagnostics and model evaluation - Technical Skills - Beginner Proficiency required</li><li>Analytical and problem-solving skills - Technical Skills - Advanced Proficiency required</li><li>Reinsurance industry and product knowledge - Technical Skills - Beginner Proficiency preferred</li><li>Balance detail with departmental goals - Behavioral Skills - Advanced Proficiency required</li><li>Make timely and effective decisions; and produce results through strategic planning - Behavioral Skills - Advanced Proficiency required</li><li>Oral and written communication skills, demonstrating the ability to convey business terminology that is meaningful and well received - Technical Skills - Expert Proficiency required</li><li>Ability to liaise with individuals across a wide variety of operational, functional, and technical disciplines - Behavioral Skills - Intermediate Proficiency required</li><li>Persuasion and negotiation skills when working with internal/external customers - Behavioral Skills - Advanced Proficiency required</li><li>Certified Analytics Professional (CAP) certification completed would be an asset</li></ul> #LI-DL1 What you can expect from RGA: <ul><li>Gain valuable knowledge from and experience with diverse, caring colleagues around the world.</li><li>Enjoy a respectful, welcoming environment that fosters individuality and encourages pioneering thought.</li><li>Join the bright and creative minds of RGA, and experience vast, endless career potential.</li></ul> Compensation Range: $120,375.00 - $179,365.00 Annual Base pay varies depending on job-related knowledge, skills, experience and market location. In addition, RGA provides an annual bonus plan that includes all roles and some positions are eligible for participation in our long-term equity incentive plan. RGA also maintains a full range of health, retirement, and other employee benefits. RGA is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, age, gender identity or expression, sex, disability, veteran status, religion, national origin, or any other characteristic protected by applicable equal employment opportunity laws.

Description The Intelligence Group at Leidos has an opening for an Mid Level Data Scientist to support our customer in St. Louis Missouri. This work requires staff qualified to have a basic understanding of GEOINT integration work but also act as a Data Scientist for the customer. The work requires a basic understanding of GEOINT from collection, exploitation, analysis and product delivery capabilitiesPosition Description: Exploitation Specialist/Data Scientist- Mid levelStaffing Requirement:This work requires staff qualified to have a basic understanding of GEOINT integration work but also act as a Data Scientist for the customer. The work requires a basic understanding of GEOINT from collection, exploitation, analysis and product delivery capabilities.DutiesProvide the customer with data management and automation support. The Data Scientist assists in data investigations on problems using applied statistics, building algorithms and collaborating with domain expertise to convey complicated realities to non-technical audiencesAssist in development of a modernized data management workflow for all customer programs.Work with Senior Data Scientist towards utilization and sustainment of the new database management processes and workflows with database developers and analysts.Research and understand current customer data management workflows.Assist in planning new workflows ensuring automation is built in.Ensure new workflows have ability to be integrated seamlessly with our modernized database applications and enterprise-level APls.Build on existing models and simulations of production and change detection data.Assist in other data management tasks related to customer modernization activities.Assist in coding and scripting to include converting existing VB.NET, C++ and C# scripts to Python.Implementing enterprise database management processes.Assist in automating repetitive data management tasks.Deliver service solutions that integrate best practices to modernize current practices.Assist in data investigations on problems using applied statistics, building algorithms and collaborating with domain expertise to convey realities to non-technical audience.Visualize disparate data sources to provide dashboards that can be understood by non-technical audiences.Skills and Experience:RequiredTypically requires a BA degree and 4 – 8 years of prior relevant experience or Masters with 2 – 6 years of prior relevant experience.3-6 years' experience in programming languages such as Python or R (statistical analysis), data preprocessing, and basic machine learning algorithms.Working knowledge of ArcGIS, ArcSDE, ArcProFamiliarity with common data science libraries and frameworks, plus:PostgreSQL, Postgis, PgAdminApplication programming interfaces (APls)DesiredExperience with workflow management systems, such as Flowable, andWorking knowledge of Maplnfo/ MapBasic GIS/ database softwareExperience with data visualization software such as TableauOriginal Posting Date:2024-12-13While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.Pay Range:Pay Range $72,150.00 - $130,425.00The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Description The Intelligence Group at Leidos has an opening for a Sr. Data Scientist to support our customer in St. Louis Missouri. This work requires staff to perform deep data investigations on complex problems using applied statistics, building algorithms, and collaborating with domain expertise to convey complicated realities to non-technical audiences.Position Description: Exploitation Specialist/Data Scientist - SeniorStaffing Requirement:This work requires staff to perform deep data investigations on complex problems using applied statistics, building algorithms, and collaborating with domain expertise to convey complicated realities to non-technical audiences.DutiesProvide the customer with data science management and automation support. Any data management solutions created by the contractor should take into consideration any modernization objectives including the modernized database applications as well as other enterprise activities (e.g., GEOINT Workbench Foundation).Provide embedded GEOINT/ Data Science expertise to assure continuity of Precise Imagery data provision to the customer.Deliver service solutions that integrate best practices to modernize current practices.Perform data Investigations on complex problems using applied statistics, building algorithms and collaborating with domain expertise to convey complicated realities to non-technical audience.Provide data visualization of disparate sources via dashboards that can be understood by non­ technical audiences.Coordinate utilization and sustainment of the new database management processes and workflows with database developers and analysts.Ensure new workflows have ability to be integrated seamlessly with our modernized database applications and enterprise-level APls.Data modeling and simulation of production and change detection data of in-house created data.Data visualization of production metrics of in-house created data.Statistical analysis of in-house created data.Scripting and coding to include converting Visual/Basic Maplnfo scripts to Python.Implementing enterprise database management processes.Automating repetitive data management tasks.Skills and Experience:RequiredBachelor’s degree in related field Typically requires a BA degree and 8 – 12 years of prior relevant experience or Masters with 6 – 10 years of prior relevant experience.A combination of 9 years of demonstrated experience in any three of the following tools/methodologies:PythonArcGIS, ArcSDE, ArcProQuantum GIS (QGIS)PostgreSQL, Postgis, PgAdminApplication programming interfaces (APls)Using applied statisticsBuilding algorithmsUnderstanding and familiarity with the following tools:Maplnfo, MapBasicDesiredExperience with workflow management systems, such as FlowableUnderstanding of the Customer Requirements process.Original Posting Date:2024-12-13While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.Pay Range:Pay Range $89,700.00 - $162,150.00The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

**At Bayer were visionaries, driven to solve the worlds toughest challenges and striving for a world where 'Health for all Hunger for none is no longer a dream, but a real possibility. Were doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining impossible. There are so many reasons to join us. If youre hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, theres only one choice.** **Genome Editing Data Scientist** **YOUR TASKS AND RESPONSIBILITIES** The primary responsibilities of this role, Genome Editing Data Scientist, are to: + Develop state of the art AI assisted genetic discovery tools to uncover novel genetics with optimal phenotypic performance by leveraging a variety of functional genomic datasets for building advanced mathematical models and theoretically proven concepts of machine learning, Bayesian optimization, and/or graph theory; + Train and analyze AI techniques on industry s most extensive global agriculture dataset (i.e. genetic and phenotypic data) in the world, including highly controlled and real world data + Identify how complex genetic interactions lead to observed phenotypes using advanced statistical methods and/or AI methodologies in an efficient and interpretable manner and determine whether these insights lead to better design and predictions for our current and future intelligent pipelines that will integrate natural variation and gene edits + Investigate the efficacy of gene regulatory networks to establish an interpretable representation tool for realizing new trait experiments and gene editing targets in corn and soy + Be asked to lead or assist in several areas, such as: gather, curate, and quality control new data sources across Research and Development (R&D) teams Serves as consultant to management and others within a specific area/discipline. + Collaborates regularly, acquiring support and partnership from cross functional scientific, engineering and IT teams across the company **WHO YOU ARE** Bayer seeks an incumbent who possesses the following: Required Qualifications: + MS with minimum of 4 years relevant experience + Educational preparation or applied experience in at least one of the following areas: Machine/Deep Learning, Bayesian Statistics, Uncertainty Quantification, Plant Genomics, Computational Biology, Computer Science, Probability, Probabilistic modeling, Nonlinear Dynamics, Hierarchical models, Applied Mathematics, or other related quantitative discipline + Team player with a track record of collaborating with diverse levels and functions + An open-minded personality with the ability to work independently + Distinct communication skills with fluency in English, both verbal and written + Track record in cross-functional project management with timely delivery of results; Demonstrated ability to ensure accountability for cross-functional groups. + Demonstrated agility and flexibility conducting research to solve complex problems. + Experience with modeling relationships between genotypes and phenotypes with advanced statistical methods and/or AI methodologies + Experience with at least one of python, R, RShiny, SQL, or other related languages + Experience with Nextflow, AWS cloud services or other related cloud services Preferred Qualifications: PhD in computer science, statistics, computational biology or related field. **YOUR APPLICATION** Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer. To all recruitment agencies: Bayer does not accept unsolicited third party resumes. Bayer is an Equal Opportunity Employer/Disabled/Veterans Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Bayer is an E-Verify Employer. **Location:** United States : Missouri : Chesterfield **Division:** Crop Science **Reference Code:** 832693 **Contact Us** **Email:** hrop_usa@bayer.com **Job Segment:** Agronomy, Database, Agricultural, Genetics, Scientific, Agriculture, Engineering, Technology, Science

**At Bayer were visionaries, driven to solve the worlds toughest challenges and striving for a world where 'Health for all Hunger for none is no longer a dream, but a real possibility. Were doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining impossible. There are so many reasons to join us. If youre hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, theres only one choice.** **Genome Editing Data Scientist** **YOUR TASKS AND RESPONSIBILITIES** The primary responsibilities of this role, Genome Editing Data Scientist, are to: + Develop state of the art AI assisted genetic discovery tools to uncover novel genetics with optimal phenotypic performance by leveraging a variety of functional genomic datasets for building advanced mathematical models and theoretically proven concepts of machine learning, Bayesian optimization, and/or graph theory; + Train and analyze AI techniques on industry s most extensive global agriculture dataset (i.e. genetic and phenotypic data) in the world, including highly controlled and real world data + Identify how complex genetic interactions lead to observed phenotypes using advanced statistical methods and/or AI methodologies in an efficient and interpretable manner and determine whether these insights lead to better design and predictions for our current and future intelligent pipelines that will integrate natural variation and gene edits + Investigate the efficacy of gene regulatory networks to establish an interpretable representation tool for realizing new trait experiments and gene editing targets in corn and soy + Be asked to lead or assist in several areas, such as: gather, curate, and quality control new data sources across Research and Development (R&D) teams Serves as consultant to management and others within a specific area/discipline. + Collaborates regularly, acquiring support and partnership from cross functional scientific, engineering and IT teams across the company **WHO YOU ARE** Bayer seeks an incumbent who possesses the following: Required Qualifications: + MS with minimum of 4 years relevant experience + Educational preparation or applied experience in at least one of the following areas: Machine/Deep Learning, Bayesian Statistics, Uncertainty Quantification, Plant Genomics, Computational Biology, Computer Science, Probability, Probabilistic modeling, Nonlinear Dynamics, Hierarchical models, Applied Mathematics, or other related quantitative discipline + Team player with a track record of collaborating with diverse levels and functions + An open-minded personality with the ability to work independently + Distinct communication skills with fluency in English, both verbal and written + Track record in cross-functional project management with timely delivery of results; Demonstrated ability to ensure accountability for cross-functional groups. + Demonstrated agility and flexibility conducting research to solve complex problems. + Experience with modeling relationships between genotypes and phenotypes with advanced statistical methods and/or AI methodologies + Experience with at least one of python, R, RShiny, SQL, or other related languages + Experience with Nextflow, AWS cloud services or other related cloud services Preferred Qualifications: PhD in computer science, statistics, computational biology or related field. **YOUR APPLICATION** Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer. To all recruitment agencies: Bayer does not accept unsolicited third party resumes. Bayer is an Equal Opportunity Employer/Disabled/Veterans Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Bayer is an E-Verify Employer. **Location:** United States : Missouri : Chesterfield **Division:** Crop Science **Reference Code:** 832693 **Contact Us** **Email:** hrop_usa@bayer.com **Job Segment:** Agronomy, Database, Agricultural, Genetics, Scientific, Agriculture, Engineering, Technology, Science

Job Description Design, develop, optimize, and deploy traditional machine learning and deep learning algorithms, models, and applications. This role will be hybrid if based near a MiTek office, with the option to be fully remote if not located near a MiTek office. Job Responsibilities & Requirements What You Will Do: <ul> <li>Research and implement state-of-the-art data science techniques for modeling and algorithm development. </li><li>Lead complex end-to-end projects using structured and unstructured data types, including time series data sources. </li><li>Lead, mentor, and coach junior members of the AI team, fostering their professional growth. </li><li>Manage and prioritize multiple projects, ensuring they are completed on time and within budget. </li><li>Create advanced data visualizations and dashboards to communicate effectively. </li><li>Collaborate with cross-functional teams of engineers, product managers, and researchers to deliver high-quality products and services. </li><li>Stay updated with the latest developments and trends in computer vision and artificial intelligence. </li><li>Interact with customers and cross-functional departments to understand project needs and requirements, collect data sets, and convert the business requirements into technical specifications. </li><li>Develop POCs and prototypes (including data explorations) in a fast-paced environment to ensure feasibility, scalability, and accuracy of algorithms and models. </li><li>Educate and evangelize the use of AI among internal and external stakeholders. </li></ul>Qualifications: <ul> <li>Bachelors degree in a related field required </li><li>5+ years of experience in computer vision, natural language processing, traditional machine learning, statistical analysis, or related domains required </li><li>Proficiency in Python and SQL required </li><li>Proficiency with machine learning, deep learning, and deployment frameworks such as TensorFlow, PyTorch, or Keras, Scikit-learn, Numpy, Pandas, OpenCV, Restful APIs, Docker required </li><li>Deep knowledge of statistical modeling and machine learning modeling required </li><li>Experience developing and deploying models and applications on cloud platforms such as Azure, AWS, or Google Cloud required </li><li>Excellent communication and presentation skills, with the ability to convey complex findings to non-technical stakeholders </li><li>Strong leadership and mentoring abilities </li><li>Strong business acumen and the ability to translate data insights into actionable recommendations </li></ul>MiTek Perks: <ul> <li>Flexible Paid Time Off - take as much time off as you need! </li><li>Medical, Dental and Vision Insurance begin on Day 1! </li><li>Profit Sharing Plan and Annual Incentive Plan </li><li>13 Paid Holidays </li><li>401k Plan with Matching Contributions </li><li>Paid Parental Leave and Paid Caregiver Leave </li><li>A variety of Medical, Dental and Vision Plans to choose from </li><li>Short-Term Disability Coverage, Long-Term Disability Coverage and Life Insurance </li><li>Tuition Reimbursement </li><li>Career advancement and training opportunities! </li></ul> MiTek is a platform innovator and enabler that exists to transform the building industry with better building solutions. In 1955, MiTek transformed residential construction with the invention of the Gang-Nail plate and a digital platform that provided an affordable and scalable way to manufacture wood trusses. Today, MiTek delivers software, services, engineered products, and automated solutions that enable the building industry to improve efficiencies by optimizing the balance between off-site and on-site. With nearly 5,600 team members worldwide, MiTek collaborates across the building industry to enable and accelerate transformational breakthroughs in design and construction to transform the way the industry designs, makes, and builds. As a Berkshire Hathaway (NYSE: BRK-A, NYSE: BRK-B) company since 2001, MiTek has a record of continuous growth and innovation. MiTek is an E-Verify and Drug and Tobacco-Free Workplace. We are an equal opportunity employer; and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, ethnicity, physical or mental disability, sex (including pregnancy, sexual orientation, gender identity or expression, or transgender status), age (40 and over), genetic information (including family medical history), veteran status, or any other protected characteristic. For accommodation to assist with completing this application, please contact Human Resources at +1 314-434-1200. www.mii.com

You desire impactful work. You're RGA ready RGA is a purpose-driven organization working to solve today's challenges through innovation and collaboration. A Fortune 500 Company and listed among its World's Most Admired Companies, we're the only global reinsurance company to focus primarily on life- and health-related solutions. Join our multinational team of intelligent, motivated, and collaborative people, and help us make financial protection accessible to all. A member of Model Risk Management team, the Senior Data Scientist, contributes to the implementation of second line enterprise-wide model risk management (MRM) governance framework with a focus on artificial intelligence (AI) and predictive models. This role will also perform model validation and risk assessment of AI and predictive models. This role will involve frequent communication with model owners within the business units, as well as with model risk governance groups and other key stakeholders. What you will do <ul> <li>Conduct model validation and perform model risk assessment for AI and predictive models, working in collaboration with functional associates. This includes designing model test plans using R and Python code for API and web access. Support the evaluation, monitoring, reporting of overall model risk exposure for RGA, identify trend and mitigation opportunities. </li><li>Executes all activities related to model risk oversight to monitor the use of AI and predictive models at RGA supported by the model risk policy and assessment plan. </li><li>Assist in development and implementation of the enterprise Model Risk Management (MRM) framework and MRM strategy, with a focus on AI and predictive models. </li><li>Collaborate with business units to create awareness of the model risk framework and its implementation in order to maintain high engagement with model owners, first line risk officers and other stakeholders. </li><li>Support the development of operational risk quantification methodology and process, including related socialization to ensure the methods are understood and used appropriately. </li><li>Maintain regular and predictable attendance. </li></ul>Qualifications <ul> <li>Bachelor's Degree in Arts/Sciences (BA/BS) Math, Statistics, Actuarial Science, Computer Science, or related field required (graduate Master's degree preferred) </li><li>Minimum of 5 years of software development experience, with familiarity developing statistical models for insurance or related applications required, and </li><li>1 or more years of statistical on-the-job modeling experience (not exam based) for insurance or related applications (Regression, Decision Trees, Time Series, etc.) required (3+ years would be desired), and </li><li>Statistical programs (ex.: R, Python), spreadsheets skills (Excel/VBA) and database applications (Oracle, SQL or equivalent technology) - Technical Skills - Intermediate Proficiency required </li><li>Machine learning models / concepts - Technical Skills Upon Hire - Beginner Proficiency required </li><li>Predictive model knowledge, including statistical concepts for feature engineering, model diagnostics and model evaluation - Technical Skills - Beginner Proficiency required </li><li>Analytical and problem-solving skills - Technical Skills - Advanced Proficiency required </li><li>Reinsurance industry and product knowledge - Technical Skills - Beginner Proficiency preferred </li><li>Balance detail with departmental goals - Behavioral Skills - Advanced Proficiency required </li><li>Make timely and effective decisions; and produce results through strategic planning - Behavioral Skills - Advanced Proficiency required </li><li>Oral and written communication skills, demonstrating the ability to convey business terminology that is meaningful and well received - Technical Skills - Expert Proficiency required </li><li>Ability to liaise with individuals across a wide variety of operational, functional, and technical disciplines - Behavioral Skills - Intermediate Proficiency required </li><li>Persuasion and negotiation skills when working with internal/external customers - Behavioral Skills - Advanced Proficiency required </li><li>Certified Analytics Professional (CAP) certification completed would be an asset </li></ul>#LI-DL1 What you can expect from RGA: <ul> <li>Gain valuable knowledge from and experience with diverse, caring colleagues around the world. </li><li>Enjoy a respectful, welcoming environment that fosters individuality and encourages pioneering thought. </li><li>Join the bright and creative minds of RGA, and experience vast, endless career potential. </li></ul> Compensation Range: $120,375.00 - $179,365.00 Annual Base pay varies depending on job-related knowledge, skills, experience and market location. In addition, RGA provides an annual bonus plan that includes all roles and some positions are eligible for participation in our long-term equity incentive plan. RGA also maintains a full range of health, retirement, and other employee benefits. RGA is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, age, gender identity or expression, sex, disability, veteran status, religion, national origin, or any other characteristic protected by applicable equal employment opportunity laws.

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where 'Health for all Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

Genome Editing Data Scientist

YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role, Genome Editing Data Scientist, are to:

Develop state of the art AI assisted genetic discovery tools to uncover novel genetics with optimal phenotypic performance by leveraging a variety of functional genomic datasets for building advanced mathematical models and theoretically proven concepts of machine learning, Bayesian optimization, and/or graph theory;

Train and analyze AI techniques on industry s most extensive global agriculture dataset (i.e. genetic and phenotypic data) in the world, including highly controlled and real world data

Identify how complex genetic interactions lead to observed phenotypes using advanced statistical methods and/or AI methodologies in an efficient and interpretable manner and determine whether these insights lead to better design and predictions for our current and future intelligent pipelines that will integrate natural variation and gene edits

Investigate the efficacy of gene regulatory networks to establish an interpretable representation tool for realizing new trait experiments and gene editing targets in corn and soy

Be asked to lead or assist in several areas, such as: gather, curate, and quality control new data sources across Research and Development (R&D) teams · Serves as consultant to management and others within a specific area/discipline.

Collaborates regularly, acquiring support and partnership from cross functional scientific, engineering and IT teams across the company

WHO YOU ARE

Bayer seeks an incumbent who possesses the following:

Required Qualifications:

MS with minimum of 4 years relevant experience ·

Educational preparation or applied experience in at least one of the following areas: Machine/Deep Learning, Bayesian Statistics, Uncertainty Quantification, Plant Genomics, Computational Biology, Computer Science, Probability, Probabilistic modeling, Nonlinear Dynamics, Hierarchical models, Applied Mathematics, or other related quantitative discipline

Team player with a track record of collaborating with diverse levels and functions

An open-minded personality with the ability to work independently

Distinct communication skills with fluency in English, both verbal and written

Track record in cross-functional project management with timely delivery of results; Demonstrated ability to ensure accountability for cross-functional groups.

Demonstrated agility and flexibility conducting research to solve complex problems.

Experience with modeling relationships between genotypes and phenotypes with advanced statistical methods and/or AI methodologies

Experience with at least one of python, R, RShiny, SQL, or other related languages

Experience with Nextflow, AWS cloud services or other related cloud services

Preferred Qualifications:

PhD in computer science, statistics, computational biology or related field.

YOUR APPLICATION

Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.

To all recruitment agencies: Bayer does not accept unsolicited third party resumes.

Bayer is an Equal Opportunity Employer/Disabled/Veterans

Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

Bayer is an E-Verify Employer.

Location:  United States : Missouri : Chesterfield

Division:  Crop Science

Reference Code:  832693

Contact Us

Email:  hrop_usa@bayer.com

Job Segment:  Agronomy, Research Scientist, Compliance, Machinist, Agricultural, Agriculture, Science, Legal, Manufacturing

Data Scientist Jobs in Chesterfield, MO

Senior Data Scientist
December 19, 2024

Mid Data Scientist
December 15, 2024

Senior Data Scientist
December 15, 2024

Genome Editing Data Scientist
December 8, 2024

Genome Editing Data Scientist
December 6, 2024

Senior Ai Data Scientist
December 3, 2024

Senior Data Scientist
December 3, 2024

Genome Editing Data Scientist
November 28, 2024

Genome Editing Data Scientist
November 25, 2024

Data Scientist
November 24, 2024

Quick filters

Top companies

Data Scientist Jobs in Chesterfield, MO

Senior Data ScientistDecember 19, 2024

Mid Data ScientistDecember 15, 2024

Senior Data ScientistDecember 15, 2024

Genome Editing Data ScientistDecember 8, 2024

Genome Editing Data ScientistDecember 6, 2024

Senior Ai Data ScientistDecember 3, 2024

Senior Data ScientistDecember 3, 2024

Genome Editing Data ScientistNovember 28, 2024

Genome Editing Data ScientistNovember 25, 2024

Data ScientistNovember 24, 2024