Valo Health-posted 1 day ago
Full-time • Director
Remote • Lexington, MA
101-250 employees

As Associate Director, Computational Biology, you will lead a diverse team of technical experts developing and applying cutting-edge quantitative approaches to drive therapeutic discovery . Our innovative platform leverages advanced computational techniques, starting with patient data, to bring better medicines to patients, faster. You and your team will apply and extend our platform to uncover causal biology driving disease and treatment outcomes, focusing on multi-omics data in advanced human-centric in vitro models and in patient samples, as well as cutting-edge network analysis and graph ML approaches. A successful candidate combines deep biological knowledge and understanding, with a breadth of technical skills in high-dimensional data analysis, as well as curiosity, willingness to learn, and proven interest and ability in mentoring both early-career data scientists as well as senior technical experts.

  • 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
  • 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
  • Experience with multivariate causal reasoning (e.g. probabilistic graphical models)
  • Experience with multi-omics data generation and analysis from patient samples
  • Experience with network analytics and/or graph ML
  • Scientific expertise in cardiometabolic or neurodegenerative disease
  • Familiarity with observational study design and execution (e.g. clinical cohort or Real-World Evidence studies)
  • Familiarity with Statistical Genetics approaches to biological discovery (GWAS, etc)
  • Experience contributing to strategic planning and organizational development in a biotech or pharma setting
  • Valo Health currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits.
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