Associate Director Jobs

About The Position

Requirements

• Ph.D. in Bioinformatics, Computational Biology, Computer Science, Mathematics, Engineering, Biostatistics, or a related field. (An M.S. with equivalent experience considered).
• 7+ years in bioinformatics, including 3+ years leading scientists and working across functions.
• Demonstrated ownership of a team that took scientific research into real clinical use, not only to a result.
• Demonstrated experience developing or scientifically guiding diagnostic sequencing assays.
• Deep expertise in next-generation sequencing analysis: hybrid-capture or amplicon-based target enrichment designs, sequencing quality control, secondary analysis, and variant calling.
• Experience with cell-free DNA sequencing and other omics data, especially in a diagnostics setting. Preferred to have some exposure to multiomics types : methylation, fragmentomics, or related cfDNA signals.
• Working knowledge of how a diagnostic product moves through development in a regulated, accredited setting, including the practices and standards that apply.
• Strong Python, programming, and data analysis skills.
• Fluency in exploratory data analysis and visualization on complex data sets, and the ability to translate findings into actionable recommendations.
• Understanding of sequencing workflows from sample extraction through the instrument, deep enough to tell a biology problem from an analysis problem.
• A demonstrated record of assessing a new platform, assay chemistry or method against established benchmarks.
• Clear communication of technical detail to people who do not share your background.
• The ability to run several objectives and timelines at once without close supervision.

Nice To Haves

• Long-read sequencing (PacBio HiFi, Oxford Nanopore) in addition to short-read (Illumina).
• R, shell scripting, or Java.
• Cloud computing (AWS, GCP) and workflow orchestration (Snakemake, WDL, Nextflow, Cromwell).
• Containerization (Docker, Kubernetes) for reproducible, production-grade analyses.
• A record of conference presentations or peer-reviewed publication.
• A desire to work in a fast-paced environment where a small team has high impact.

Responsibilities

• Lead and mentor a team of Bioinformatics Scientists. Own their professional growth, their responsibilities, and the standard the team holds itself to.
• Own the research strategy behind new product development, from scoping through execution, working with cross-functional stakeholders on what the team takes on and in what order.
• Lead bioinformatics analysis for assay development and optimization, and troubleshoot experiments alongside laboratory scientists. This spans multi-omic approaches including methylation and fragmentomics and other cell-free DNA (cfDNA) derived features. It also spans short-read and long-read sequencing and both hybrid-capture and amplicon target enrichment.
• Partner with laboratory teams on study design at the research and feasibility stage, covering new technology assessment, optimization, and performance determination. Make sure the resulting data holds up before anyone builds on it.
• Advise and prototype improvements to analysis pipelines, including variant detection, quality control, and modality-specific processing: methylation calling, fragment-size and end-motif analysis, error suppression for deep targeted panels, and structural-variant calling.
• Move research prototypes into stable production workflows. Hold the team to software engineering practice, including version control, testing, continuous integration and delivery, and containerization. Automate the routine parts of research data management, pipeline execution, and reporting so the team's time goes to science.
• AI is a routine part of the work here. As the leader of this team you set what correct use looks like: what an agent may conclude on its own, and what requires a scientist to sign off. We do not screen for prior experience with these tools, and many strong candidates come from environments where they were restricted; we provide the tooling and the ramp time.
• Work with data science, molecular biology, pipeline engineering, biostatistics, quality assurance, and laboratory operations on new products and on the transition of research work into production. Act as the subject-matter expert those groups come to, and explain findings and the roadmap clearly at every level of the company.

Benefits

• Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents.
• Free testing for employees and their immediate families.
• Fertility care benefits.
• Pregnancy and baby bonding leave.
• 401k benefits.
• Commuter benefits.
• Employee referral program.