Senior Data Scientist

Summary

Join Valo Health as a Senior Data Scientist, contributing to a team building a computational platform for drug discovery and development. You will execute research analyses using large real-world healthcare databases, working through the entire study lifecycle from design to presentation. Collaboration with diverse experts is key in this innovative startup environment. The role requires expertise in epidemiology, biostatistics, and programming languages like R and Python. Success demands strong analytical skills, experience with healthcare databases, and the ability to manage multiple tasks effectively. This position offers a competitive salary and the opportunity to work on cutting-edge projects within a dynamic team.

Requirements

• Experience in epidemiology, biostatistics, applied statistics or related quantitative field: PhD or MPH/MS with two years of experience
• Demonstrated ability to execute robust analytical strategies using health care databases including electronic health records, administrative claims databases, and/or patient registries
• Experience with epidemiology research methods including cohort and case control study design, confounding control, and longitudinal methods
• Experience with causal approaches applied to observational studies, including propensity score methods, bias adjustment, and covariate selection and adjustment
• Experience creating specific patient cohorts with detailed and purposeful inclusion/exclusion criteria
• Experience developing and communicating epidemiological analyses that have sufficient depth for both clinical and biological stakeholders
• Must have experience conducting data manipulation and statistical analysis in Python and/or R programming languages
• Experience developing research proposals and conducting feasibility studies
• Comfortable working in ambiguous problem spaces; experience working in a start-up or agile work environment as part of cross-functional project teams
• Exceptional time management, ability to prioritize multiple tasks simultaneously, and deliver products on time every time
• Advanced knowledge in biostatistics approaches, including inferential modeling, longitudinal modeling, and hypothesis testing

Responsibilities

• Work as a member of teams of world-class data scientists developing robust, generalizable solutions to core scientific problems
• Be comfortable with scientific uncertainty and embrace curiosity and creative solutions
• Work with multiple electronic medical record datasets using R and/or Python in cloud environments
• Use your technical knowledge and intuition to articulate and break down large problems into solvable pieces
• Be a dynamic and active team member, championing and adopting shared coding standards, participating in code review, and providing regular updates of your work and input into the work of your colleagues
• Work heavily within the cardiometabolic therapeutic area, but also potentially encountering problems across a variety of different clinical and pharmaceutical domain areas
• Contribute to the team’s continuing education and best practices through literature reviews and knowledge synthesis across epidemiological/clinical topics
• Execute research analyses under the management of a project lead to validate drug targets using large real-world healthcare databases
• Work in the full study lifecycle from designing the study, coding the analysis, and presenting the results to stakeholders

Preferred Qualifications

• Familiarity with or exposure to traditional drug discovery and development processes and approaches is a plus
• Familiarity with pharmacoepidemiology is a plus

Benefits

$150,000 — $205,000 USD