Head of Bioinformatics

TATAA is a fast-growing company with two decades of history and is recently backed by a life sciences investment firm. The company is comprised of a team of scientists providing laboratory services, products and education / training services across a broad range of nucleic acid analysis technologies including PCR, ddPCR, NGS and proteomics. The company serves a variety of pharma, biotech and academic customers. This position offers an exciting opportunity to get involved early on in setting up TATAA for its next phase of growth.

ARBETSUPPGIFTER
TATAA is recruiting a passionate cross functional leader to be Head of Bioinformatics. The scope of this role encompasses leading the companys bioinformatics and data analysis efforts.

Responsibilities

• Serve as the bioinformatics and data management lead.
• Lead computational biology methods development, preclinical and clinical data processing and review.
• Develop new bioinformatics approaches, including designing, adapting and developing computational workflows, including analysis of data generated by NGS activities.
• Champion the use of computational tools throughout therapeutic development.
• Manage outsourced biostatisticians and programmers. Expand and lead an internal team, including training and mentoring these team members.
• Provide database management and organization.
• Drive the execution and delivery of data and analysis by collaborating with wet-lab scientists and quality teams.
• Prioritize and complete multiple parallel projects.


KVALIFIKATIONER
Minimum Qualifications

• PhD in Computational Biology, Bioinformatics, Statistics, Biology, Computer Science or related field.
• 7+ years relevant experience with increasing responsibility in biotech/pharma or CRO industry, or accomplished computational biology experience in academia.
• Strong background using NGS for data analysis and building computational pipelines.
• Experience in using general purpose and statistical computer languages (e.g. R, Python) to develop pipelines, manipulate data and draw insights from large data sets.
• Strong scientific background with a track record of demonstrated innovation.
• Effective writer and communicator with the ability to deliver high impact internal and external presentations, as well as documentation skills to maintain software.
• Experience in project management and track record for executing and delivering according to timelines.