Company Summary:

Tessera Therapeutics is pioneering Gene Writing™— a new biotechnology designed to offer scientists and clinicians the ability to write small and large therapeutic messages into the genome, thereby curing diseases at their source. Gene Writing holds the potential to become a new category in genetic medicine, building upon recent breakthroughs in gene therapy and gene editing while eliminating important limitations in their reach, utilization, and efficacy. Tessera Therapeutics was founded by Flagship Pioneering, a life sciences innovation enterprise that conceives, resources, and develops first-in-category companies to transform human health and sustainability.

Position Summary:

We are looking for an enthusiastic, detail-oriented, and highly motivated data engineer/data architect that can help advance our scientific mission. This person will develop and support a cloud based infrastructure for data collection, integration and analysis for both internally and externally generated data. They will join the Quantitative Biology team and interact with computational biologists and our scientific platform teams to enable the discovery and development of novel gene therapy agents. The individual will serve as the lead designer and implementer of data solutions and expose the company to innovative technologies and systems that will help it achieve its goals.

Key Responsibilities:

As a key member of the scientific team, this lead data engineer/architect will:

• Design, implement and support a comprehensive, cloud-based data management infrastructure that enables the strategic scientific goals of the organization
• Rapidly create targeted solutions to critical problems
• Integrate commercial, open source and purpose-built components
• Integrate data from a variety of internal and external sources
• Design database model and data modeling
• Build strong relationships across quantitative biology and wet bench science
• Manage any necessary license agreements, maintenance and support contracts, and any managed service relationships for the team
• Provide technical leadership and engineering for software development projects on diverse platforms
• Nucleate our automation engineering capability

Key Requirements:

• Master’s degree in Bioinformatics, Informatics, Computer Science, Data Science or other related discipline
• Minimum 3-5 years of experience in research informatics, supporting in one of the core drug discovery scientific disciplines (chemistry, biology, and clinical).
• Demonstrated experience managing cloud-based software solutions, including electronic laboratory notebooks, laboratory information management solutions, and high-performance computing.
• Demonstrated impact designing and implementing scientific information systems in a drug or target discovery setting.
• History of independently solving difficult problems, troubleshooting common research informatics problems, and proposing solutions related to informatics
• Experience working with external vendors and CROs
• History of successfully working in a cross-functional environment
• Experience working in a fast paced and rapidly growing organization
• Expertise in problem decomposition and solution delivery using modern SDLC methodologies
• Proficient with cloud development (AWS preferred)
• Knowledge of pipeline software such as Nextflow or Prefect
• Understanding of analytical pipeline architecture
• Results oriented: A willingness to use the right technique for the experiment, even if it’s an unfamiliar one.
• Communication: outstanding written and verbal communication skills, ability to work well with colleagues from diverse scientific backgrounds and cultures.

Preferred Qualifications, if you have these it would be a plus:

• Experience establishing DevOps foundation for software development including, source control systems, infrastructure as code standards, secure code practices, etc
• Experience with laboratory automation systems and experimental workflow development
• Practical knowledge of high-throughput biological processes, screening or profiling
• Experience with next generation sequencing (NGS) data management
• Experience with metadata management including controlled vocabulary/ontology utilization

More About Flagship Pioneering

Flagship Pioneering conceives, creates, resources, and develops first-in-category life sciences companies to transform human health and sustainability. Since its launch in 2000, the firm has, through its Flagship Labs unit, applied its unique hypothesis-driven innovation process to originate and foster more than 100 scientific ventures, resulting in over $50B in aggregate value. To date, Flagship has deployed over $2.2B in capital toward the founding and growth of its pioneering companies alongside more than $18B of follow-on investments from other institutions. The current Flagship ecosystem comprises 41 transformative companies, including Axcella Health (NASDAQ: AXLA), Denali Therapeutics (NASDAQ: DNLI), Evelo Biosciences (NASDAQ: EVLO), Foghorn Therapeutics (NASDAQ: FHTX), Indigo Ag, Kaleido Biosciences (NASDAQ: KLDO), Moderna (NASDAQ: MRNA), Rubius Therapeutics (NASDAQ: RUBY), Sana Biotechnology, Seres Therapeutics (NASDAQ: MCRB), and Sigilon Therapeutics (NASDAQ: SGTX).

Flagship Pioneering and our ecosystem companies are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Recruitment & Staffing Agencies:  Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates.  The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team.   Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.