Gilead Sciences
Director, RWE - Data Science - OHDSI
Gilead Sciences, Parsippany, New Jersey, United States,
Job Title:
Director, RWE - Data Science - (OMOP/OHDSI)Company:
Gilead SciencesLocation:
Foster City, CA; Parsippany, NJ; Raleigh, NC; Stockley Park, England; or Dublin, IrelandJob Type:
Full-TimeGilead Sciences, Inc. is a research-based biopharmaceutical company founded in 1987. Together we deliver life-saving therapies to patients in need. Our worldwide staff is a close community where you can see the tangible results of your contributions, where every individual matters, and everyone has a chance to enhance their skills through ongoing development.We are seeking a skilled and motivated senior Real World Evidence (RWE) Data Scientist working in the area of Observational Health Data Sciences and Informatics (OHDSI) to join our dynamic team. As a RWE Data Scientist (OMOP/OHDSI), you will play a crucial role in designing, implementing, and maintaining healthcare data solutions using the OHDSI framework.Responsibilities:
Collaborate with researchers and data scientists to understand project requirements and translate them into OHDSI-compatible solutions.Work with databases, ensuring data integrity and optimization for OHDSI-related queries and analyses.Perform data analyses in OHDSI-related tools like ATLAS.Customize and extend OHDSI tools and applications to meet specific project needs.Collaborate with cross-functional teams to troubleshoot and resolve technical issues related to OHDSI implementations.Stay informed about OHDSI community updates, best practices, and emerging trends in observational health data research.Contribute to the development and documentation of data standards and conventions within the OHDSI community.Requirements/Qualifications:
PhD in computer science, computer engineering, information systems, Medical Informatics, Bioinformatics, life sciences or related discipline with 8+ years’ data science experience.MS in computer science, Medical Informatics, Bioinformatics, life sciences or related discipline with 10+ years’ data science experience.BS in computer science, Medical Informatics, Bioinformatics, life sciences or related discipline with 12+ years’ relevant experience in data science.Bachelor’s degree with substantial coursework in Computer Science, Medical Informatics, Bioinformatics, or related fields. Advanced degree preferred. Proven experience in programming languages commonly used in the OHDSI community, such as SQL, R, and Python. Understanding of Machine Learning Concepts. Solid Understanding of Clinical Terminology such as SNOMED, ICD9/10, CPT, HCPCS, READ. Solid understanding of healthcare data, particularly electronic health records (EHR) and insurance claims, and experience working with healthcare data standards. Proven experience with the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) and OHDSI related tools, such as ATLAS, ATHENA, and ACHILLES. Strong problem-solving skills and the ability to work collaboratively in a team environment. Excellent communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders. Experience developing and maintaining documentation for RWE studies and insight generation.Preferred Skills:
Knowledge of clinical informatics and healthcare research methodologies.Experience with data quality assessment and data validation techniques.Familiarity with healthcare privacy and security regulations, such as HIPAA.If you are passionate about leveraging your programming skills to contribute to innovative health data research, we invite you to apply and be a key player in advancing the field of observational health data sciences.The salary range for this position is: $201,025.00 - $260,150.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans.For Additional Benefits Information, Visit:
https://www.gilead.com/careers/compensation-benefits-and-wellbeingAs an equal opportunity employer, Gilead Sciences Inc. is committed to a diverse workforce. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws.
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Director, RWE - Data Science - (OMOP/OHDSI)Company:
Gilead SciencesLocation:
Foster City, CA; Parsippany, NJ; Raleigh, NC; Stockley Park, England; or Dublin, IrelandJob Type:
Full-TimeGilead Sciences, Inc. is a research-based biopharmaceutical company founded in 1987. Together we deliver life-saving therapies to patients in need. Our worldwide staff is a close community where you can see the tangible results of your contributions, where every individual matters, and everyone has a chance to enhance their skills through ongoing development.We are seeking a skilled and motivated senior Real World Evidence (RWE) Data Scientist working in the area of Observational Health Data Sciences and Informatics (OHDSI) to join our dynamic team. As a RWE Data Scientist (OMOP/OHDSI), you will play a crucial role in designing, implementing, and maintaining healthcare data solutions using the OHDSI framework.Responsibilities:
Collaborate with researchers and data scientists to understand project requirements and translate them into OHDSI-compatible solutions.Work with databases, ensuring data integrity and optimization for OHDSI-related queries and analyses.Perform data analyses in OHDSI-related tools like ATLAS.Customize and extend OHDSI tools and applications to meet specific project needs.Collaborate with cross-functional teams to troubleshoot and resolve technical issues related to OHDSI implementations.Stay informed about OHDSI community updates, best practices, and emerging trends in observational health data research.Contribute to the development and documentation of data standards and conventions within the OHDSI community.Requirements/Qualifications:
PhD in computer science, computer engineering, information systems, Medical Informatics, Bioinformatics, life sciences or related discipline with 8+ years’ data science experience.MS in computer science, Medical Informatics, Bioinformatics, life sciences or related discipline with 10+ years’ data science experience.BS in computer science, Medical Informatics, Bioinformatics, life sciences or related discipline with 12+ years’ relevant experience in data science.Bachelor’s degree with substantial coursework in Computer Science, Medical Informatics, Bioinformatics, or related fields. Advanced degree preferred. Proven experience in programming languages commonly used in the OHDSI community, such as SQL, R, and Python. Understanding of Machine Learning Concepts. Solid Understanding of Clinical Terminology such as SNOMED, ICD9/10, CPT, HCPCS, READ. Solid understanding of healthcare data, particularly electronic health records (EHR) and insurance claims, and experience working with healthcare data standards. Proven experience with the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) and OHDSI related tools, such as ATLAS, ATHENA, and ACHILLES. Strong problem-solving skills and the ability to work collaboratively in a team environment. Excellent communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders. Experience developing and maintaining documentation for RWE studies and insight generation.Preferred Skills:
Knowledge of clinical informatics and healthcare research methodologies.Experience with data quality assessment and data validation techniques.Familiarity with healthcare privacy and security regulations, such as HIPAA.If you are passionate about leveraging your programming skills to contribute to innovative health data research, we invite you to apply and be a key player in advancing the field of observational health data sciences.The salary range for this position is: $201,025.00 - $260,150.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans.For Additional Benefits Information, Visit:
https://www.gilead.com/careers/compensation-benefits-and-wellbeingAs an equal opportunity employer, Gilead Sciences Inc. is committed to a diverse workforce. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws.
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