As the Director, Computational Biology, you will report to the Head of Biology and Bioinformatics and work with expanded team of individuals at PatientsLikeMe to define and deliver our bioinformatics strategy. You will be responsible for evaluating the strengths and weaknesses of multiple ‘omics platforms, and building the data analysis pipelines for those platforms in a scalable fashion.

You will also develop creative and novel methodologies to integrate different kinds of high-throughput data modalities, together with clinical measures and patient reported outcomes into biological models for individual patients and groups of patients. You will have the opportunity to take part in building and analyzing large-scale patient data sets, and responsible for evaluating the power and replicate calculations required to deliver meaningful scientific insights from ‘omics data derived from these data sets.

You must work closely with the systems biologists that will be evaluating the outcomes of your computational analyses in order to deliver tools for biological discovery. You will also be responsible for working with the biological knowledge management team and engineers to decide how we will build the necessary infrastructure to support data storage, architecture, knowledge management, and tool development. This will include evaluating the technologies of our partners and making strategic decisions about how to either integrate this code base or develop new code base to support future operations. When necessary, you may be called upon to support scientific consulting engagements, and you will be expected to publish findings in peer-reviewed journals with significant impact.

The ideal candidate possess a significant number of the qualifications/skills listed below:

• Ph.D in Computational Biology, Bioengineering, Bioinformatics or a related discipline
• 5-10+ years of industry experience but outstanding junior candidates will be considered
• Proven track record in establishing data analysis pipelines and building tools for other computational biologists and computationally savvy biologists
• Solid working knowledge of machine-learning approaches and applications to patient data
• Ability to collaborate with AI and data science experts
• Ability to communicate computational biology concepts to biologists and lay persons
• Willingness to work in a fast-paced, demanding, and growing environment
• Desire to solve extremely complex problems with scientific rigor and systematic attention to detail
• Outstanding team player and collaborator
• Ability to work to deadlines
• Experience growing a team, and managing junior colleagues also a plus

Must be local to our Cambridge office, or willing to relocate