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Valo Health · 2 weeks ago

Associate Director, Computational Biology

Lexington, Massachusetts, United States

Full-time

Onsite

Lead/Staff, Director/Executive

$187K/yr - $240K/yr

Valo Health is a human-centric, AI-enabled biotechnology company dedicated to accelerating drug discovery and development. As an Associate Director in Computational Biology, you will lead a team to apply advanced computational techniques to drive therapeutic discovery and uncover causal biology driving disease and treatment outcomes.

BiotechnologyHealth CareInformation TechnologyMedical

No H1B

Responsibilities

Manage and mentor early career data scientists and senior technical experts, fostering technical growth and cross-functional communication while building a culture of rigor, accountability, innovation, and collaboration

Support external partnerships by aligning deliverables to partner expectations, ensuring project delivery with high scientific standards, and managing direct and indirect stakeholder interactions

Design, develop, and implement multi-omic, graph ML, and other high-dimensional analyses of relevant biological data to support identification of therapeutic targets, biomarkers, and disease mechanisms

Collaborate cross-functionally with other data science teams (e.g. Statistical Genetics, Real-World Data / Real-World Evidence), as well as Discovery Biology and therapeutics experts to integrate diverse inputs into cohesive execution plans driving differentiated insights

Work with Platform Engineering teams to identify and implement improvements to our platform

Participate in planning discussions and provide inputs around prioritization and resource allocation

Stay abreast of emerging trends in relevant domains and apply new insights to strengthen program strategy and execution; work with data science and enterprise leadership to set direction for innovation

Be comfortable with scientific uncertainty and embrace curiosity and creative solutions. Many of the challenges we’re trying to address don’t have known solutions or clear processes to arrive at answers

Be an 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

Qualification

Computational BiologyHigh-dimensional data analysisPythonTeam leadershipGraph MLMulti-omics dataData manipulationMachine LearningCuriosityTechnical communicationCollaboration

Required

PhD in Computational Biology, Systems Biology, Bioinformatics, or related quantitative field in the biological sciences

Team leadership experience managing technical teams and fostering collaborative team environments

Prior industry experience, including leadership of cross-functional projects or programs

Demonstrated expertise in analysis of high-dimensional biological data (e.g. genomic, proteomic, epigenomic, etc) via a modern data science stack in Python and/or R; extensive experience with data manipulation, ML, and visualization (e.g. pandas, plotly, scikit-learn, tidyverse, etc) executed via robust and reproducible pipelines

Experience with collaborative development and documentation practices (e.g. git, Confluence, Jira)

Proven technical and executive communication experience with the ability to synthesize complex information for diverse audiences

Proven ability to operate in fast-paced, ambiguous environments with a focus on delivery and impact