Company : Albert Einstein College of Medicine POSITION RESPONSIBILITIES: Analyze and interpret complex biological data using advanced bioinformatics tools and techniques. Develop and implement machine learning and deep learning algorithms to drive data-driven insights. Manage and manipulate large datasets using SQL (Oracle and SQL Server) for data extraction, transformation, and analysis. Create and maintain data visualizations and dashboards using Power BI to communicate findings to stakeholders. Collaborate with cross-functional teams to support data-driven decision-making and research initiatives. Utilize EHR database systems such as Epic Clarity or Caboodle to integrate and analyze healthcare data. Meet with investigators to discuss data requests that are part of a grant, research proposal, or quality improvement project. Help refine data requests into specific extractable data items and process them into specific research variables. Ensure IRB approval for data extraction. Refer requests to Data Center leadership if study design or data definitions need further clarification. Write and store code (e.g., SQL) for extracting data elements. Maintain continuous communication with PI during data extraction to clarify and redefine if necessary. Process extracted data elements into research variables meeting PI specifications using data processing software (Stata, R, or similar). Document projects, code used for extraction, data processing steps, and final dataset. QUALIFICATIONS: Bachelor’s Degree in Bioinformatics, Computational Biology, Data Science, Computer Science, or a related field. Master’s Degree in a relevant field preferred. Experience: 3-5 years of experience in bioinformatics, data science, or a related field. Proficiency in bioinformatics tools and techniques. Experience with machine learning and deep learning algorithms. Minimum Salary Range: USD $99,000.00/Yr. Maximum Salary Range: USD $(phone number removed)/Yr. About Us: A new Clinical Data Center is being developed by the Department of Medicine, to efficiently handle the influx of requests for informatics and data services for research purposes. This position will be embedded in the Clinical Data Center, work with investigators and the epidemiologist in the Data Center to refine requests for data into actionable data element lists, lead data extraction efforts from Montefiore’s Enterprise Data Warehouse and Epic/Clarity, and process raw data extractions into analyzable data tables that meet the specifications of the investigator team. Specific duties include: meeting with investigators and Data Center staff to iteratively refine data requests, have ongoing iterations of refining with the team during the data extraction process, document and share case definitions and data element definitions with other data extractor in the Data Center, reshape, merge, and recode extracted tables to create an analyzable data table. <h3><a > </a> </h3>#J-18808-Ljbffr

Guidehouse, a leading firm in data and analytics consulting, is looking for a Data Scientist Consultant. This role is essential in assisting clients to implement comprehensive data solutions, from basic querying and visualization to advanced predictive analytics and machine learning. The team is dedicated to optimizing business intelligence, reducing operational costs, and enhancing decision-making capabilities. In this role you can expect to have the responsibilities: <ul><li>Implement a full range of data analytics and data science services </li><li>Support clients in defining and executing information strategy, architecture, and governance </li><li>Create business insights using business intelligence and analytics tools </li><li>Engage in data querying, wrangling, visualization, and dashboarding </li><li>Perform predictive analytics, machine learning, and artificial intelligence tasks </li> </ul>This role comes with the following benefits: <ul><li>Medical, Rx, Dental & Vision Insurance </li><li>Personal and Family Sick Time & Company Paid Holidays </li><li>Discretionary variable incentive bonus eligibility </li><li>Parental Leave and Adoption Assistance </li><li>401(k) Retirement Plan </li><li>Basic Life & Supplemental Life Insurance </li><li>Flexible Spending Accounts for Health, Dental/Vision, and Dependent Care </li><li>Short-Term & Long-Term Disability </li><li>Student Loan PayDown </li><li>Tuition Reimbursement and Personal Development Opportunities </li><li>Skills Development & Certifications </li><li>Employee Referral Program </li><li>Corporate Sponsored Events & Community Outreach </li><li>Emergency Back-Up Childcare Program </li><li>Mobility Stipend </li> </ul>This role requires you to have: <ul><li>Active TS/SCI Federal or DoD security clearance with Full Scope (FS/FSP) polygraph </li><li>Entry-level experience in data science with understanding of core concepts </li><li>Bachelor’s degree </li> </ul>You would benefit from having: <ul><li>M.S./M.A. in a quantitative or computational field (e.g., Data Science, Statistics, Mathematics, Computer Science) </li><li>Tableau Desktop and Server Certifications </li><li>Proficiency in SQL and experience with Python or R for statistical modeling and machine learning </li><li>Experience with MS Forms, Power Automate, and business intelligence reporting tools like Tableau </li><li>Strong verbal and written communication skills </li> </ul>Guidehouse is committed to equal employment opportunity for all applicants, regardless of various protected statuses. They also comply with laws related to hiring applicants with criminal histories. #J-18808-Ljbffr

Guidehouse, a leading firm in data and analytics consulting, is looking for a Data Scientist Consultant. This role is essential in assisting clients to implement comprehensive data solutions, from basic querying and visualization to advanced predictive analytics and machine learning. The team is dedicated to optimizing business intelligence, reducing operational costs, and enhancing decision-making capabilities.
In this role you can expect to have the responsibilities:

Implement a full range of data analytics and data science services
Support clients in defining and executing information strategy, architecture, and governance
Create business insights using business intelligence and analytics tools
Engage in data querying, wrangling, visualization, and dashboarding
Perform predictive analytics, machine learning, and artificial intelligence tasks
This role comes with the following benefits:

Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Discretionary variable incentive bonus eligibility
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life Insurance
Flexible Spending Accounts for Health, Dental/Vision, and Dependent Care
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement and Personal Development Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend
This role requires you to have:

Active TS/SCI Federal or DoD security clearance with Full Scope (FS/FSP) polygraph
Entry-level experience in data science with understanding of core concepts
Bachelor’s degree
You would benefit from having:

M.S./M.A. in a quantitative or computational field (e.g., Data Science, Statistics, Mathematics, Computer Science)
Tableau Desktop and Server Certifications
Proficiency in SQL and experience with Python or R for statistical modeling and machine learning
Experience with MS Forms, Power Automate, and business intelligence reporting tools like Tableau
Strong verbal and written communication skills
Guidehouse is committed to equal employment opportunity for all applicants, regardless of various protected statuses. They also comply with laws related to hiring applicants with criminal histories.

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Discord is seeking an experienced individual to join their Experimentation Platform team as a Senior Causal Inference Data Scientist. The role focuses on enhancing the company's experimentation capabilities, ensuring that statistical methodologies are robust and aligned with best practices. This position entails collaborating with engineering and product teams during a significant platform rebuild to improve ongoing experimentation. As a key member of a small, growing team, the individual will have the opportunity to influence strategic decisions that impact over 200 million users.
Required Qualifications and Skills Candidates should possess a PhD in a quantitative field such as Statistics, Economics, or Psychology, along with a minimum of four years of experience in designing and analyzing experiments. A strong ability to critically evaluate statistical methodologies is essential, along with a passion for education and effective communication of complex concepts to diverse audiences. Experience in developing training programs and fostering a culture of data literacy within organizations is also emphasized, alongside proficiency in Python, SQL, and R.
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
Founded in 2015, Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests - from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations. And we're hiring! If this strikes a chord with you, come build belonging with us: https://discordapp.com/jobs for openings.

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