Biologist **Urgently Hiring**

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 ofreal-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.

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.

Own the product roadmap for Target ID software.

Gather and prioritize scientific requirements from internal users.

Rapidly prototype computational solutions using Python.

Establish documentation, onboarding materials, and best practices for internal platform usage.

Lead cross-functional project execution (data engineering, software engineering).

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.

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

$Valo Health currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. 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.