Job Details Your work will change lives. Including your own. The Impact You'll Make We are seeking a Principal Data Scientist to support clinical trial planning and to contextualize observed efficacy of experimental arms in trials against other active agents not studied within the trial, via non-randomized comparisons using external data sources. At the study planning stage, you will leverage various business intelligence data - sourced from historical trials and real-world data - to support enrollment modeling, powering assumptions, biomarker-enrichment, and other study planning needs. The intent is to optimize trial design with data-driven insights. During a trial, or shortly after conclusion of a trial, you will leverage external data sources to contextualize the observed efficacy of the experimental arm. These insights will be generated via meta-analyses, externally controlled designs using real-world data or trial data, and other sources. The intent is to inform decision making during early development. To be successful, you will be required to have a minimum of 5 years of experience working within the life sciences industry. A strong foundation in statistical modeling, causal inference, and statistical programming, as well as experience in oncology real-world data linked with genomic sequencing information. In this role, you will: Data Integration & Analytics: Leverage diverse data sources, including insurance claims, EHRs, omics data, and other real-world datasets, to generate actionable insights to support drug development Enrollment Modeling and Predictive Forecasting: Lead enrollment modeling efforts, applying Monte Carlo Simulations and other approaches to accurately estimate patient enrollment rates, model study timelines, and mitigate recruitment risks Statistical Modeling: Regression modeling using patient-level and summary-level (i.e., meta-analysis) data. Propensity score models to correct for imbalances between trial-enrolled population and external data sources Statistical Programming: Manipulate data and effectively report the data Collaboration & Cross-Functional Support: Work closely with colleagues in Inception Labs, Discovery, Translational Science, Clinical Operations, Clinical Development, Biostatistics, Regulatory teams, and external partners to apply insights to trial design, site selection, and patient recruitment strategies Data Visualization & Reporting: Develop clear and actionable reports using BI tools (e.g., Tableau, Power BI) to present insights, enrollment forecasts, and data-driven recommendations to senior leadership and key stakeholders Data Quality & Management: Ensure high data quality by cleaning, organizing, and maintaining datasets from various sources, enabling robust analyses and reliable decision-making The Team You'll Join Reporting to the VP, Decision Science, you'll be joining a team that will help Recursion design optimal clinical trials and support portfolio level decision making. This is a new, small group that will have expertise in causal inference and its applications in observational, real-world data and historical trial data (at the patient-level and the summary level). This will be a fun, fast-paced work environment full of passionate colleagues who are integrating cutting edge technology into drug development. Inclusiveness, respect, scientific rigor, and strategic thinking are key behavioral attributes of the team. The Experience You'll Need Master's or PhD in Data Science, Biostatistics, Epidemiology, Bioinformatics, or related field with a minimum of 5 years of experience working with RWD in the pharmaceutical, biotech, or life sciences consultancy Demonstrated expertise in analyzing insurance claims, EHRs, and genomic data for drug development insights Expert skills in at least one statistical programming tool such as R, SAS, or other languages is a must. Expertise in SQL is also a must Experience with BI tools such as Tableau, Power BI, or similar for data visualization and reporting Strong understanding of data management platforms and clinical trial management systems Excellent analytical and problem-solving skills, with experience in handling large and complex datasets Working Location: This position is based at our office located in New York City, NY . Please note that we are a hybrid environment and ask that employees spend 50% of their time per week in office. LI-LM1 At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is: Developing: $224,000 Skilled: $232,000 Expert: $249,000 To learn more about our level within levels, click here . You will also be eligible for bonuses and equity compensation our comprehensive benefits package for United States based candidates. The range displayed on each job posting reflects target ranges for US new hire salaries and is determined by job, level, and market factors. During the interview selection process, you will connect with a Talent Acquisition Partner who will be your advocate and ally to ensure you receive the appropriate compensation that meets your needs for your skills, experience, and relevant education/training, while also reviewing our very competitive total rewards package. The Values That We Hope You Share: We Care: We care about our drug candidates, our Recursionauts, their families, each other, our communities, the patients we aim to serve and their loved ones. We also care about our work. We Learn: Learning from the diverse perspectives of our fellow Recursionauts, and from failure, is an essential part of how we make progress. We Deliver: We are unapologetic that our expectations for delivery are extraordinarily high. There is urgency to our existence: we sprint at maximum engagement, making time and space to recover. Act Boldly with Integrity: No company changes the world or reinvents an industry without being bold. It must be balanced; not by timidity, but by doing the right thing even when no one is looking. We are One Recursion: We operate with a 'company first, team second' mentality. Our success comes from working as one interdisciplinary team. Recursion spends time and energy connecting every aspect of work to these values. They aren't static, but regularly discussed and questioned because we make decisions rooted in those values in our day-to-day work. You can read more about our values and how we live them every day here . More About Recursion Recursion is a clinical stage TechBio company leading the space by decoding biology to industrialize drug discovery. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously expands one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered inSalt Lake City, where it is a founding member of BioHive , the Utah life sciences industry collective. Recursion also has offices in London, Toronto, Montreal and the San Francisco Bay Area. Learn more at www.Recursion.com , or connect on X (formerly Twitter) and LinkedIn . Recursion is an Equal Opportunity Employer that values diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Recursion welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

Job Details Your work will change lives. Including your own. The Impact You'll Make We are seeking a Principal Data Scientist to support clinical trial planning and to contextualize observed efficacy of experimental arms in trials against other active agents not studied within the trial, via non-randomized comparisons using external data sources. At the study planning stage, you will leverage various business intelligence data - sourced from historical trials and real-world data - to support enrollment modeling, powering assumptions, biomarker-enrichment, and other study planning needs. The intent is to optimize trial design with data-driven insights. During a trial, or shortly after conclusion of a trial, you will leverage external data sources to contextualize the observed efficacy of the experimental arm. These insights will be generated via meta-analyses, externally controlled designs using real-world data or trial data, and other sources. The intent is to inform decision making during early development. To be successful, you will be required to have a minimum of 5 years of experience working within the life sciences industry. A strong foundation in statistical modeling, causal inference, and statistical programming, as well as experience in oncology real-world data linked with genomic sequencing information. In this role, you will: Data Integration & Analytics: Leverage diverse data sources, including insurance claims, EHRs, omics data, and other real-world datasets, to generate actionable insights to support drug development Enrollment Modeling and Predictive Forecasting: Lead enrollment modeling efforts, applying Monte Carlo Simulations and other approaches to accurately estimate patient enrollment rates, model study timelines, and mitigate recruitment risks Statistical Modeling: Regression modeling using patient-level and summary-level (i.e., meta-analysis) data. Propensity score models to correct for imbalances between trial-enrolled population and external data sources Statistical Programming: Manipulate data and effectively report the data Collaboration & Cross-Functional Support: Work closely with colleagues in Inception Labs, Discovery, Translational Science, Clinical Operations, Clinical Development, Biostatistics, Regulatory teams, and external partners to apply insights to trial design, site selection, and patient recruitment strategies Data Visualization & Reporting: Develop clear and actionable reports using BI tools (e.g., Tableau, Power BI) to present insights, enrollment forecasts, and data-driven recommendations to senior leadership and key stakeholders Data Quality & Management: Ensure high data quality by cleaning, organizing, and maintaining datasets from various sources, enabling robust analyses and reliable decision-making The Team You'll Join Reporting to the VP, Decision Science, you'll be joining a team that will help Recursion design optimal clinical trials and support portfolio level decision making. This is a new, small group that will have expertise in causal inference and its applications in observational, real-world data and historical trial data (at the patient-level and the summary level). This will be a fun, fast-paced work environment full of passionate colleagues who are integrating cutting edge technology into drug development. Inclusiveness, respect, scientific rigor, and strategic thinking are key behavioral attributes of the team. The Experience You'll Need Master's or PhD in Data Science, Biostatistics, Epidemiology, Bioinformatics, or related field with a minimum of 5 years of experience working with RWD in the pharmaceutical, biotech, or life sciences consultancy Demonstrated expertise in analyzing insurance claims, EHRs, and genomic data for drug development insights Expert skills in at least one statistical programming tool such as R, SAS, or other languages is a must. Expertise in SQL is also a must Experience with BI tools such as Tableau, Power BI, or similar for data visualization and reporting Strong understanding of data management platforms and clinical trial management systems Excellent analytical and problem-solving skills, with experience in handling large and complex datasets Working Location: This position is based at our office located in New York City, NY . Please note that we are a hybrid environment and ask that employees spend 50% of their time per week in office. LI-LM1 At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is: Developing: $224,000 Skilled: $232,000 Expert: $249,000 To learn more about our level within levels, click here . You will also be eligible for bonuses and equity compensation  our comprehensive benefits package for United States based candidates. The range displayed on each job posting reflects target ranges for US new hire salaries and is determined by job, level, and market factors. During the interview selection process, you will connect with a Talent Acquisition Partner who will be your advocate and ally to ensure you receive the appropriate compensation that meets your needs for your skills, experience, and relevant education/training, while also reviewing our very competitive total rewards package. The Values That We Hope You Share: We Care: We care about our drug candidates, our Recursionauts, their families, each other, our communities, the patients we aim to serve and their loved ones. We also care about our work. We Learn: Learning from the diverse perspectives of our fellow Recursionauts, and from failure, is an essential part of how we make progress. We Deliver: We are unapologetic that our expectations for delivery are extraordinarily high. There is urgency to our existence: we sprint at maximum engagement, making time and space to recover. Act Boldly with Integrity: No company changes the world or reinvents an industry without being bold. It must be balanced; not by timidity, but by doing the right thing even when no one is looking. We are One Recursion: We operate with a 'company first, team second' mentality. Our success comes from working as one interdisciplinary team. Recursion spends time and energy connecting every aspect of work to these values. They aren't static, but regularly discussed and questioned because we make decisions rooted in those values in our day-to-day work. You can read more about our values and how we live them every day here . More About Recursion Recursion is a clinical stage TechBio company leading the space by decoding biology to industrialize drug discovery. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously expands one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered inSalt Lake City, where it is a founding member of BioHive , the Utah life sciences industry collective. Recursion also has offices in London, Toronto, Montreal and the San Francisco Bay Area. Learn more at www.Recursion.com , or connect on X (formerly Twitter) and LinkedIn . Recursion is an Equal Opportunity Employer that values diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Recursion welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

Job Details

Your work will change lives. Including your own.

The Impact You'll Make

We are seeking a Principal Data Scientist to support clinical trial planning and to contextualize observed efficacy of experimental arms in trials against other active agents not studied within the trial, via non-randomized comparisons using external data sources.

At the study planning stage, you will leverage various business intelligence data - sourced from historical trials and real-world data - to support enrollment modeling, powering assumptions, biomarker-enrichment, and other study planning needs. The intent is to optimize trial design with data-driven insights.

During a trial, or shortly after conclusion of a trial, you will leverage external data sources to contextualize the observed efficacy of the experimental arm. These insights will be generated via meta-analyses, externally controlled designs using real-world data or trial data, and other sources. The intent is to inform decision making during early development.

To be successful, you will be required to have a minimum of 5 years of experience working within the life sciences industry. A strong foundation in statistical modeling, causal inference, and statistical programming, as well as experience in oncology real-world data linked with genomic sequencing information.

In this role, you will:
Data Integration & Analytics:  Leverage diverse data sources, including insurance claims, EHRs, omics data, and other real-world datasets, to generate actionable insights to support drug development
Enrollment Modeling and Predictive Forecasting:  Lead enrollment modeling efforts, applying Monte Carlo Simulations and other approaches to accurately estimate patient enrollment rates, model study timelines, and mitigate recruitment risks
Statistical Modeling:  Regression modeling using patient-level and summary-level (i.e., meta-analysis) data. Propensity score models to correct for imbalances between trial-enrolled population and external data sources
Statistical Programming:  Manipulate data and effectively report the data
Collaboration & Cross-Functional Support:  Work closely with colleagues in Inception Labs, Discovery, Translational Science, Clinical Operations, Clinical Development, Biostatistics, Regulatory teams, and external partners to apply insights to trial design, site selection, and patient recruitment strategies
Data Visualization & Reporting:  Develop clear and actionable reports using BI tools (e.g., Tableau, Power BI) to present insights, enrollment forecasts, and data-driven recommendations to senior leadership and key stakeholders
Data Quality & Management:  Ensure high data quality by cleaning, organizing, and maintaining datasets from various sources, enabling robust analyses and reliable decision-making
The Team You'll Join

Reporting to the VP, Decision Science, you'll be joining a team that will help Recursion design optimal clinical trials and support portfolio level decision making. This is a new, small group that will have expertise in causal inference and its applications in observational, real-world data and historical trial data (at the patient-level and the summary level). This will be a fun, fast-paced work environment full of passionate colleagues who are integrating cutting edge technology into drug development. Inclusiveness, respect, scientific rigor, and strategic thinking are key behavioral attributes of the team.

The Experience You'll Need    Master's or PhD in Data Science, Biostatistics, Epidemiology, Bioinformatics, or related field with a minimum of 5 years of experience working with RWD in the pharmaceutical, biotech, or life sciences consultancy
Demonstrated expertise in analyzing insurance claims, EHRs, and genomic data for drug development insights
Expert skills in at least one statistical programming tool such as R, SAS, or other languages is a must. Expertise in SQL is also a must
Experience with BI tools such as Tableau, Power BI, or similar for data visualization and reporting
Strong understanding of data management platforms and clinical trial management systems
Excellent analytical and problem-solving skills, with experience in handling large and complex datasets
Working Location:

This position is based at our office located in New York City, NY . Please note that we are a hybrid environment and ask that employees spend 50% of their time per week in office.

#LI-LM1

At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is:   Developing: $224,000
Skilled: $232,000
Expert: $249,000
To learn more about our level within levels, click here .

You will also be eligible for bonuses and equity compensation + our comprehensive benefits package for United States based candidates. The range displayed on each job posting reflects target ranges for US new hire salaries and is determined by job, level, and market factors.

During the interview selection process, you will connect with a Talent Acquisition Partner who will be your advocate and ally to ensure you receive the appropriate compensation that meets your needs for your skills, experience, and relevant education/training, while also reviewing our very competitive total rewards package.

The Values That We Hope You Share:     We Care:  We care about our drug candidates, our Recursionauts, their families, each other, our communities, the patients we aim to serve and their loved ones. We also care about our work.
We Learn:  Learning from the diverse perspectives of our fellow Recursionauts, and from failure, is an essential part of how we make progress.
We Deliver:  We are unapologetic that our expectations for delivery are extraordinarily high. There is urgency to our existence: we sprint at maximum engagement, making time and space to recover.
Act Boldly with Integrity:  No company changes the world or reinvents an industry without being bold. It must be balanced; not by timidity, but by doing the right thing even when no one is looking.
We are One Recursion:  We operate with a 'company first, team second' mentality. Our success comes from working as one interdisciplinary team.

Recursion spends time and energy connecting every aspect of work to these values. They aren't static, but regularly discussed and questioned because we make decisions rooted in those values in our day-to-day work. You can read more about our values and how we live them every day here .

More About Recursion

Recursion is a clinical stage TechBio company leading the space by decoding biology to industrialize drug discovery. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously expands one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine.

Recursion is headquartered inSalt Lake City, where it is a founding member of BioHive , the Utah life sciences industry collective. Recursion also has offices in London, Toronto, Montreal and the San Francisco Bay Area. Learn more at www.Recursion.com , or connect on X (formerly Twitter) and LinkedIn .
Recursion is an Equal Opportunity Employer that values diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Recursion welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

Job Details We're hiring Senior Data Scientists with expertise in integrating and analyzing multi-omic datasets to identify diagnostic disease signatures and find actionable targets for drug development. These scientists would work in ICR's Translational Bioinformatics Group, focusing on rare and hard-to-diagnose diseases. Strong programming and statistics backgrounds are required, and machine learning experience is preferred. With ICR, you'll get to: Perform high-impact, high-reward rare and hard-to-diagnose disease work Discover novel diagnostic disease signatures and uncover actionable targets for drug development Integrate and analyze multi-omic datasets (e.g. genomic, epigenomic, transcriptomic, proteomic, metabolomic, clinomic) Please apply if you have: At least post-doctoral level experience analyzing -omic datasets or similar OR MS degree with 5 years experience in -omic dataset analysis Extensive programming experience A strong statistics background, particularly in descriptive and predictive statistics Ideally, you'll also: Be knowledgeable of machine learning techniques Be interested rare and hard-to-diagnose human diseases And you'll need: The ability to work in the United States without sponsorship To have a friendly, easygoing personality Salary Position title and compensation are commensurate with experience. The compensation ranges listed below are starting ranges. Starting base pay range: $135,000/yr - $185,000/yr Starting additional compensation range: $7,500/yr - $20,000/yr

Job Details Summary Visterra is seeking a highly motivated and skilled Data Scientist or Senior Data Scientist (commensurate with experience) to join our Translational team. This individual will play a critical role in exploratory translational data analysis, visualization, interpretation, and documentation, supporting our clinical programs. The successful candidate will work closely with cross-functional teams, including Translational & Clinical Development, Nonclinical, Research, and Bioanalytical, to drive biomarker strategy and ensure the integration of biomarker data into the drug development process. This position reports to the Principal Scientist, Translational Biomarkers, and the position's activities would span all clinical and late-stage preclinical programs. This is a full-time position located at Visterra's facility in Waltham, MA. Responsibilities Conduct comprehensive data analyses using statistical methods and data visualization tools (e.g., R, Python). This includes interpreting complex datasets from clinical trials and biomarker studies to support drug development strategies. Specific responsibilities may include: Format and utilize diverse data types such as clinical data (SDTM and ADaM), biomarker data, and PK/PD parameters for integrated quantitative analysis. Check data quality and consistency, including iteratively checking for consistency at critical analytical nodes. Generate visuals and/or tables of descriptive measures of the data (e.g., means, ranges, variances, distributions, etc.). Perform specific subset analyses for correlations (e.g., relational analyses between PK/PD, safety outputs, or clinical markers). Generate and clearly present graphs and other visualizations. Provide insight into the interpretation of the results. This may include how these results factor into the disease biology or mechanism of action of the therapeutic. Adapt analyses to address subsequent hypotheses generated from initial outputs with the knowledge and insight to curtail tangential analyses that may not yield significant impact or relevance to the understanding of the therapeutic or disease state. Develop accurate and high-quality visualizations and presentations that communicate findings clearly to various stakeholders, including non-technical audiences, within and outside the organization. Contribute to the execution of biomarker strategies, integrating data from preclinical and clinical studies. Perform relational analyses of biomarkers for pharmacodynamic responses and clinical outcomes. Collaborate with cross-functional teams to analyze and evaluate results, ensuring high-quality data generation and interpretation in a timely manner. Author internal reports of biomarker data outputs. Support the clinical trial process by ensuring accurate documentation and reporting of data. Engage in the writing and reviewing of documents, including but not limited to: clinical study reports, regulatory documents, and scientific publications or other materials (e.g., conference abstracts). Performs other duties as required. Requirements Bachelor's degree in the life sciences or data science, with advanced training such as a Master's or Ph.D. in biological or data sciences. Experience in data analysis, visualization, interpretation and hypothesis generation is required; this is not solely a statistical/data analysis position. Prior analytical experience with clinical trial data is strongly preferred. Demonstrated proficiency with data analysis and visualization tools (e.g., R). Thorough understanding of biostatistical concepts. Familiarity with proteomics, genomics, or other 'omics data is advantageous, including an ability to converse and collaborate with in-house bioinformaticians. Ability to synthesize and interpret multidisciplinary data sets, think critically, and explain distilled principles to a wide audience. Familiarity with relevant good data management practices including annotation, storage, and sharing. Background or knowledge in immunology or nephrology is desirable. Strong verbal and written skills, with the ability to communicate effectively across a variety of audiences and generate technical reports. Collaborative, goal-driven, organized, and communicative; thrives in a fast-paced environment with multiple parallel programs. Company Visterra is a clinical stage biotechnology company committed to developing innovative biologic therapies for the treatment of kidney diseases, with an immuno-nephrology focus. Our proprietary technology platform enables the design and engineering of precision antibody or protein-based drug candidates to modulate key disease targets. We are developing a robust pipeline of novel therapies for patients with unmet needs. Visterra is a wholly owned subsidiary of Otsuka America, Inc., which is a U.S. holding company subsidiary of Otsuka Pharmaceutical Co., Ltd. of Japan. Visterra has approximately 125 employees, and is located in Waltham, Massachusetts.

Job Details We're hiring a Principal Data Scientist with expertise in predictive statistics (analytics and modeling, especially as applied to diagnostics), bioinformatics and machine learning. Because you will be working with medical and biological datasets, a background in biomedical sciences is required. Fluency in R and Python is definitely preferred. Please notice that this is not a financial-sector job . However, if you're looking for a challenging, deeply rewarding position applying advanced data analysis and machine learning to help solve some of humanity's toughest problems then this job may be for you. Our Principal Data Scientist will manage a team of data scientists and machine learning engineers to use multi-omics datasets to find diagnostic patterns of rare and hard-to-diagnose diseases and to generate actionable targets for drug development. With ICR, you'll get to: Oversee the analysis of large, multi-omic datasets with the goal of finding disease signatures for diagnosis and targets for drug development Collaborate with your ICR team members to streamline and optimize novel methodologies to identify disease-causing genomic/transcriptomic variants and find actionable targets for therapeutic development Create and test in silico human disease models to improve predictive diagnostics Manage a team of data scientists, computational biologists and machine learning engineers in difficult but rewarding work Please apply if you have: A Masters or PhD and 10 years of data science/machine learning experience, with a focus on the integration of multi-omics level datasets, diagnosing disease and target discovery A deep background in computer programming, machine learning, mathematics, probability and statistics with an emphasis on integrating and interrogating large, multi-omic datasets A drive to push the envelope of individualized medicine with the translational potential to help millions of suffering people You'll also need: The ability to work in the United States without sponsorship A can-do attitude and a friendly, easygoing personality Salary Position title and compensation are commensurate with experience. The compensation ranges listed below are starting ranges. Starting base pay range: $175,000/yr - $275,000/yr Starting additional compensation range: $15,000/yr - $50,000/yr

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