---
title: 'Staff Data Scientist, Computational Biology at Valo Health'
canonical: 'https://feeny.ai/job/staff-data-scientist-computational-biology-valo-health-lexington-massachusetts-jxbwhycbajw4'
type: 'job'
last_seen: '2026-09-14'
---

# Staff Data Scientist, Computational Biology at Valo Health

- **Company:** Valo Health
- **Location:** Lexington Massachusetts, United States
- **Compensation:** $166k–$230k
- **Work type:** remote
- **Posted:** 2026-03-15
- **Last confirmed live:** 2026-09-14
- **Apply:** https://job-boards.greenhouse.io/valohealth/jobs/8443273002

## Job description

## About Us

Valo Health is a human-centric, AI-enabled biotechnology company working to make new drugs for patients faster. The company’s Opal Computational Platform transforms drug discovery and development through a unique combination of real-world data, AI, human translational models and predictive chemistry.

Our talented team of biologists, chemists and engineers, armed with advanced AI/ML tools, work together to break down traditional R&D silos and accelerate the speed and scale of drug discovery and development.

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 embrace new ways of learning, solve complex problems and welcome diverse perspectives that can help us advance patient-centric innovation.

Valo is headquartered in Lexington, MA, with additional offices in New York, NY and Tel Aviv, Israel.  To learn more, visit [www.valohealth.com](http://www.valohealth.com/).

## About the Role

We are seeking an exceptional Staff Computational Biologist to drive the next generation of software and data products supporting Target Identification and Prioritization across our research organization. This hybrid role is ideal for someone who thrives at the intersection of biology, computation, product strategy, and engineering execution.

As a senior member of the Translational Platform Engineering team, you will act as a product owner, technical strategist, and rapid prototyper, responsible for shaping the roadmap and delivering tools that power discovery teams. Your day to day includes working with biology data scientists to harden their notebooks and workflows, pushing new releases to production (on a predictable schedule), and sitting with biologists and chemists as they use the UIs to advance our translational biology efforts. The Staff Computational Biologist is the key to translating use cases into technical specifications for engineering teams.

This is a highly visible and impactful role where you will contribute to a human-biology-first approach to drug discovery programs by leading the end-to-end lifecycle of platform capabilities used daily by our Target ID scientists.

## What You’ll Do…

- Own the product roadmap for Target ID software.
- Gather and prioritize scientific requirements from internal users.
- Translate use cases into technical specifications for engineering teams.
- Rapidly prototype computational solutions using Python.
- Develop and maintain internal packages, reproducible workflows, and APIs.
- Establish documentation, onboarding materials, and best practices for internal platform usage.
- Lead cross-functional project execution (data engineering, software engineering).
- Follow good engineering practices (i.e. CI/CD, predictable demo cadence, etc.)

What You Bring...

- Bachelor's/ Master's degree in relevant field (computational biology, bioinformatics, systems biology, computer science) or equivalent relevant education and experience
- 6+ years industry experience in computational biology or data-driven discovery; minimum 1 years’ experience in software engineering and data engineering teams
- Proficiency working with programming languages Python, and R, modern development frameworks and developing internal packages
- Experience with omics/translational data analysis, scalable ETL pipelines, data modeling, and associated QC
- 1+ years’ experience leading complex projects as product owner
- Experience supporting target identification, prioritization, or multi-modal analysis.

Nice to have...

- Experience with dashboard development (e.g. Shiny, Dash, Streamlit, React, Veu.js).
- Understanding of cloud-native tools and modern data platforms (AWS/GCP/Azure).
- Familiarity with the drug discovery and development process is a plus

Remote Salary Range $165,750—$195,000 USD

CA Salary Range $195,585—$230,100 USD

Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Valo Health currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Valo Health's good faith estimate as of the date of publication and may be modified in the future.

Please note: At this time, we are only able to consider candidates who currently have permanent US work authorization without the need for immediate or future sponsorship.

## About Valo Health

## Company Overview
- **One-liner**: Valo Health is an AI-driven biotechnology company redefining drug discovery by integrating human causal biology, predictive chemistry, and large-scale patient data to develop novel small molecule therapeutics.
- **Entity Type**: Private
- **Headquarters**: Lexington, Massachusetts, United States
- **Founded**: 2019
- **Founders**: Not publicly available (leadership team includes CEO Brian Alexander, MD, MPH)

## Core Business
- **Primary industry/industries**: Biotechnology, Drug Discovery & Development, Artificial Intelligence in Healthcare
- **Target customers**: B2B (pharmaceutical partners, biotech collaborators) and ultimately B2C (patients with unmet medical needs)
- **Mission or purpose statement**: "To transform drug discovery through AI-enabled human causal biology and predictive chemistry."

## Products & Services
- **Human Causal Biology Platform**: An AI-powered system that analyzes over 17 million de-identified patient records (some spanning 20-30 years with linked biobank samples) to identify patient subtypes, map biological pathways, and pinpoint validated therapeutic targets using causal inference and statistical genetics.
- **Closed-Loop Chemistry Platform**: A tightly coupled modeling and laboratory system that rapidly explores vast chemical spaces, identifies novel lead compounds, and optimizes small molecules for human safety and efficacy, aiming to generate first-in-class drugs.
- **Drug Discovery Pipeline**: A portfolio of internally developed small molecule programs targeting challenging diseases, with a focus on de-risking high failure points and accelerating the path from target identification to clinical candidates.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company)
- **Key Metric**: Total Funding — Valo has raised significant venture capital (exact amount not disclosed in available sources; earlier reports indicate over $300M in Series B and other rounds, but recent figures are not confirmed)
- **Notable Investors/Partners**: Board includes Paul Biondi (Executive Chairman), David R. Epstein, and Harsha Ramalingam; strategic partnerships with pharmaceutical and technology organizations (specific names not detailed in provided sources)
- **Growth Signals**: Access to more than 17 million de-identified patient records; named a 2026 "Best Place to Work" by the Boston Business Journal; continued expansion of leadership team with roles in AI, biology, chemistry, and operations

## Competitive Advantages
- **Integrated R&D Engine**: Deep integration of biology, chemistry, and engineering within a single platform, avoiding silos and enabling continuous learning across the drug discovery pipeline.
- **Human-First Approach**: Starts drug discovery with human causal biology (not animal models), using real-world patient data to validate targets before lab experimentation, significantly reducing biological risk.
- **Proprietary Data Assets**: Unique access to a massive, longitudinal patient dataset (17M+ records) linked to biobank samples, providing a rare view of the full disease arc from early symptoms to long-term outcomes.
- **Closed-Loop Learning**: Chemistry models are rapidly refined after each experiment, balancing competing properties (efficacy, safety, pharmacokinetics) to advance the most promising lead series.

## Strategic Focus
- Accelerate discovery of novel small molecules against challenging, traditionally inaccessible targets.
- De-risk clinical development by aligning discovery efforts with desired human clinical profiles from the outset.
- Expand the platform's capabilities in causal AI and predictive chemistry to increase pipeline throughput.
- Continue building a cross-functional team at the intersection of science, technology, and medicine.

## Why Work Here
- **Culture**: Valo emphasizes a culture of curiosity, collaboration, humility, ownership, and impact. They describe themselves as "redefining what's possible" in drug discovery.
- **Work Environment**: Open to remote work for many roles (e.g., Staff Data Scientist positions list "Remote" as an option alongside Lexington, MA). Office locations in Lexington.
- **Benefits**: Medical, Dental, and Vision Insurance; Flexible Time-off; 401K; Commuter Reimbursement; Fitness Reimbursement; Pet Insurance; Corporate engagement opportunities with local non-profit organizations.
- **Recognition**: Named a 2026 "Best Place to Work" by the Boston Business Journal.
- **Engineering & Data Science Focus**: Active hiring for Staff Data Scientists (Graph ML, Machine Learning in Epidemiology), Staff Computational Biologists, and other technical roles. The team works on cutting-edge AI, causal inference, and large-scale data problems.

## Sources
1. [valohealth.com](https://www.valohealth.com/)
2. [valohealth.com/company](https://www.valohealth.com/company)
3. [valohealth.com/approach](https://www.valohealth.com/approach)
4. [valohealth.com/company/careers](https://www.valohealth.com/company/careers)
5. [job-boards.greenhouse.io/valohealth](https://job-boards.greenhouse.io/valohealth)

## Other roles at Valo Health

- [Staff Data Scientist, Machine Learning in Epidemiology and Patient Data Products](https://feeny.ai/job/staff-data-scientist-machine-learning-in-epidemiology-and-patient-data-products-kze6qx4bjp5k) — Lexington Massachusetts, United States / San Francisco California, United States