At Valo Health, we're harnessing data to accelerate the discovery and development of new medicines. As a Staff Data Scientist in Epidemiology and Patient Data Products, you will be a core member of a team answering research questions using large real world healthcare databases to identify biological molecules for effective drug development. You'll partner with colleagues in machine learning, statistical genetics, and computational biology to solve challenging computational problems.
What You'll Do
- Lead real world data studies (e.g., electronic medical records) from end-to-end to generate causal evidence for projects in drug discovery and development.
- Translate research questions into observational study designs to generate patient-centric insights from statistical models.
- Curate clinical and non-clinical variables for machine learning models.
- Execute trajectory modeling techniques using real world data.
- Interpret machine learning results into patient profiles.
- Execute post-hoc longitudinal analyses among patient profiles of interest.
- Work with a diverse array of data spanning electronic medical records, sequencing, multi-omics data, and other data modalities using R and Python in cloud environments.
- Use technical knowledge and intuition to articulate and break down large problems into solvable pieces.
- Collaborate with drug discovery and clinical development teams to help ensure the relevance and impact of the insights generated.
- Be a dynamic and active team member, championing and adopting shared coding standards, participating in code review, and providing regular updates.
What We're Looking For
- MPH, MS with 5+ years or PhD in epidemiology or biostatistics with 3+ years of work-related experience applying epidemiological, statistical, and/or machine learning methods to real-world datasets.
- 3+ years of experience developing and executing robust analytical strategies, including cohort and case control study design, using health care databases including electronic health records, administrative claims databases, and/or patient registries.
- Experience leading epidemiologic projects from end-to-end: from translating research questions into observational study designs, contrasting strengths and weaknesses of different study designs and statistical approaches, and generating patient-centric insights from statistical models.
- Extensive experience with causal approaches applied to observational studies, including propensity score methods, bias adjustment, and covariate selection and adjustment.
- Advanced knowledge in biostatistics approaches, including inferential and predictive modeling, and comfortable implementing unsupervised machine learning algorithms in real world health care databases.
- Must have experience conducting data manipulation and statistical analysis in Python and/or R programming languages.
- Comfortable working in ambiguous problem spaces; experience working in a start-up or agile work environment as part of cross-functional project teams.
- Ability to lead and facilitate meetings and work collaboratively on multi-disciplinary project teams.
- Exceptional time management, ability to prioritize multiple tasks simultaneously, and deliver products on time every time.
- Enthusiastic about documentation–ensuring that all analyses are clear and reproducible with thorough documentation of key assumptions and decision points.
Nice to Have
- Research experience in obesity, cardiometabolic, and/or neurodegenerative therapeutic areas.
- Experience developing and maintaining machine learning pipelines, and translating machine learning output into meaningful insights for diverse audiences.
- Familiarity with or exposure to traditional drug discovery and development processes and approaches.
- Hands-on experience curating structured health data and working in health data from outside of the U.S.
Technical Stack
- R
- Python
Team & Environment
You will be a core member of a team of data scientists, part of the cardiometabolic team, reporting to epidemiology program leads.
Benefits & Compensation
- Salary range: $180,000 - $227,000 USD
Work Mode
This is a remote position.
Valo Health is committed to hiring diverse talent, prioritizing growth and development, and fostering an inclusive environment. We embrace new ways of learning, solve complex problems, and welcome diverse perspectives.
