Director of Bioinformatics - California, United States - Life Science People

Description

As the Head of Computational Biology, you will oversee a dynamic team of Computational Scientists and Engineers, steering our client's computational biology initiatives. Your role involves crafting, implementing, and maintaining clinical next-generation sequencing analysis workflows. You will collaborate closely with various teams (R&D, clinical, Software Engineering, Process Engineering, Product) to support new assay development and refine existing assays, prioritizing scalability and workflow optimization.

Responsibilities:

• Strategic Leadership: Offer strategic guidance for prenatal computational biology endeavors, ensuring alignment with company objectives and fostering collaboration across departments.

• Team Management: Lead the Computational Biology team, nurturing a culture of innovation, teamwork, and professional growth. Direct project planning, resource allocation, and staff development.

• Innovative Approaches: Devise and execute computational biology strategies to advance next-generation sequencing workflows, promoting innovation.

• Quality Management: Establish and supervise robust quality control processes to uphold the accuracy and reliability of computational biology outcomes.

• Collaborative Engagement: Work closely with wet lab personnel, clinical specialists, and R&D scientists to translate scientific breakthroughs into practical computational biology solutions for clinical diagnostics.

• Effective Communication: Keep leadership, internal stakeholders, and external partners informed of project advancements and computational biology strategies.

Requirements:

• PhD in Computational Biology, Bioinformatics, Computer Science, Biomedical Engineering, Physics, or a related discipline

• Proven experience in leading and managing a team of computational biologists.

• Strong project management abilities with meticulous attention to detail.

• Excellent communication skills and the capacity to collaborate effectively within a multidisciplinary team.

• Over 10 years of computational biology experience (including post-PhD years)

• More than 5 years of experience in analyzing NGS data (including post-PhD years)

• Over 3 years of experience in building and overseeing a team with diverse roles or functions

• Proficiency in programming languages like Python, R, or similar tools

• Familiarity with data structures, command-line utilities, shell scripting, and industry-standard tools (e.g., GitHub, AWS, Heroku)

Nice-To-Haves:

• Background in a clinical diagnostics setting

Benefits And Perks:

• Collaborating with a team of high-performing individuals fostering a culture of excellence

• Open and transparent work environment with regular Town Hall meetings

• Opportunity to impact the lives of numerous patients directly or indirectly

• Various medical benefits available, including employer-paid premiums for select plans and 80% coverage for dependents

• Generous Family Bonding Leave for new parents (16 weeks, fully paid)

• Retirement savings program with a 4% Company match

• On-site lunches provided daily from top eateries

• Access to cutting-edge hardware and facilities

• On-campus amenities like a state-of-the-art gym and restaurant

• Free on-site EV charging for all electric vehicle owners, including Tesla drivers