Senior Staff Data Scientist, Epidemiology

About Us

Valo Health is a technology company that is integrating human-centric data and AI-powered technology to accelerate the creation of life-changing drugs for more patients faster. Valo was created with the belief that the drug discovery and development process can and should be faster and less expensive, with a much higher probability of success. We are using models early to fail less often, executing clinical trials to add valuation to the company, and generating fit-for-purpose data to feed back into Valo’s Opal Computational Platform™ as we reinvent drug discovery and development from the ground up. Disease doesn’t wait, so neither can we.

We are a multi-disciplinary team of experts in science, technology, and pharmaceuticals united in our mission to achieve better drugs for patients faster. Valo is committed to hiring diverse talent, prioritizing growth and development, fostering an inclusive environment, and creating opportunities to bring together a group of different experiences, backgrounds, and voices to work together. We achieve the widest-ranging impact when we leverage our broad backgrounds and perspectives to accelerate a new frontier in health. Valo seeks to become the catalyst for the pharmaceutical industry and drive the digital transformation of the industry. Are you ready to join us?

About the Role

As a Senior Staff Data Scientist, Translational Data Science, Epidemiology you will be a core member of a team of data scientists and engineers building a powerful computational platform for advancing the discovery and development of new medicines. You will develop solutions to challenging computational problems and work with a diverse array of data spanning electronic medical records, sequencing, multi-omics data, and other data modalities.  Successful candidates will work with a diverse set of scientists, and domain experts in ways that cut across traditional industry boundaries in a fast-paced startup environment

What You’ll Do…

• Work as a member of teams of world-class data scientists developing and deploying robust, generalizable solutions to core scientific problems
• Be comfortable with scientific risk - many of the challenges we’re trying to address don’t have known solutions.
• Use your technical knowledge and intuition to articulate and break down large problems into solvable pieces. Time is limited, you’ll need to prioritize which problems are critical-path today from those that can wait.
• Collaborate with drug discovery and clinical development teams to help ensure the relevance and impact of the insights generated by you and your team
• 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

What You Bring...

• MS or PhD in epidemiology, biostatistics, applied statistics or related quantitative field
• Demonstrated ability to design and 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
• Advanced knowledge of various analytical approaches including quantitative epidemiology methods, inferential modelling, predictive modeling, and other approaches
• Experience with causal approaches applied to observational studies, including propensity score methods, bias adjustment, covariate selection and adjustment, instrumental variables, etc.
• Experience with programming languages such as Python, R, SQL
• Familiarity with or exposure to traditional drug discovery and development processes and approaches is a plus
• Familiarity with integrated clinico–omics datasets (including sequencing, genomics, proteomics, etc) is a plus

Pay Range:

Base Salary: $208,000- $240,000

This range represents the low and high end of the anticipated annual base salary range for the San Francisco based position. The actual annual base salary will depend on numerous factors such as: experience, knowledge, skills, and if the location of the job changes.

More on Valo

Valo Health, LLC (“Valo”) is a tech­nol­o­gy com­pa­ny built to trans­form the drug dis­cov­ery and devel­op­ment process using human-cen­tric data and arti­fi­cial intel­li­gence-dri­ven com­pu­ta­tion. As a dig­i­tal­ly native com­pa­ny, Valo aims to ful­ly inte­grate human-cen­tric data across the entire drug devel­op­ment life cycle into a sin­gle uni­fied archi­tec­ture, there­by accel­er­at­ing the dis­cov­ery and devel­op­ment of life-chang­ing drugs while simul­ta­ne­ous­ly reduc­ing costs, time, and fail­ure rates. The com­pa­ny’s Opal Com­pu­ta­tion­al Plat­form™ is an inte­grat­ed set of capa­bil­i­ties designed to trans­form data into valu­able insights that may accel­er­ate dis­cov­er­ies and enable Valo to advance a robust pipeline of pro­grams across car­dio­vas­cu­lar meta­bol­ic renal, oncol­o­gy, and neu­rode­gen­er­a­tive dis­ease. Found­ed by Flag­ship Pio­neer­ing and head­quar­tered in Boston, MA, Valo also has offices in Lex­ing­ton, MA and San Fran­cis­co, CA. To learn more, vis­it www​.val​o​health​.com.