Director / Sr Director, Scientific Data Design

Director/ Senior Director, Scientific Data Design

About the role

In your role as Director/Senior Director, Scientific Data Design, you will be accountable for the strategy and technical design of data flows, with a current focus on biochemical, biophysical and cellular assays, protein reagents, and in vitro / in vivo ADME data. You will develop and execute a strategy to drive the evolution of our data architecture and modeling in a way that ensures data integrity, robust storage/retrieval/viewing and supports decision making for fast-paced research teams. You will closely collaborate with scientists from all disciplines and data engineers to streamline our data environment to reduce time-to-answer for research questions involving pharmacology, drug metabolism and pharmacokinetics, pharmacodynamics, and toxicology. Finally, you will play a key role in talent acquisition and retention by building an external reputation within the scientific community for excellence in the use of data and informatics applied to medicine discovery.

Location

Watertown, MA; San Diego, CA; Remote.

Responsibilities

• Accountable for operational strategy and technical design of data flows, as well as evolution and management of data models and architecture aligned to company strategy.
• Build a pharmacology data strategy that ensures our data architecture, data model, and management of data/metadata support streamlined processes for QC, standardization, parsing, ingestion, aggregation, and downstream interpretation.
• Advise data engineering team in the design and development of robust data pipelines, including visualization and analysis software tools, as well as proactively solve issues.
• Drive advances in data infrastructure to support rapid decision-making for fast paced teams.
• Collaborate with computational scientists, data engineers, and experimentalists (with an emphasis on biology and chemistry) to ensure data stewardship across multiple data types, including biochemical, biophysical, and cellular assays, DMPK, in vivo, etc, including high-throughput and high-content assays.
• Participate in scientific conversations in all projects across our portfolio to understand project-level data needs and ensure rapid data pipeline design decisions.
• Design and implement features to integrate biological data across data lake, eLN, sample management and end-user analytics/visualization.
• Continuously evaluate Treeline software platforms to ensure fit-for-purpose; assess cost:benefit and risk:benefit of maintaining or changing platforms and build versus buy.
• Advance Treeline data and computational infrastructure by contributing to the development of state-of-the-art software tools for drug discovery, primarily in Python.
• Mentor junior data and software engineers as well as scientists; bring colleagues along on the data journey.

 Minimum Qualifications

• Bachelors or equivalent experience in Biology, Chemistry, Biological Data Science, Bioinformatics, with 10+ years industry experience; or Ph.D. in one of these areas with 7+ years of industry experience.
• Experience with data strategy, design and engineering of end-to-end data pipelines, and architecture of data storage systems.
• Experience with, data science or related area, as well as experience with multiple biological data types, especially in vitro screening data.
• Strong scientific understanding of chemistry, biochemistry, biophysics.
• Experience with software tools including Python, Java, pip/poetry, git, github, pandas, parsy, AWS, DevOps.
• Experience with LIMS, electronic laboratory notebooks (e.g. Signals), scientific data management, compound registration, sample inventory, instrument data capture, conversion of raw assay data into analytics-ready form e.g. fitted curves.
• Experimental background or experience with biochemical or biophysical assays, enzymology, biology, and/or DMPK.
• Ability to think strategically and proactively; preempts issues more than fixes issues.
• Ability to dig deeply through various data types; demonstrated experience in pinpointing resolving incongruities between tools/frameworks.
• Excellent written and oral communication skills, including an ability to explain complex ideas to computational scientists, experimentalists, and clinicians.
• Collaborative mindset, capable of establishing strong working relationships across a geographically distributed organization.

 Preferred Qualifications

• Experience with dashboard and visualization tools (e.g. D360, Spotfire…etc),
• Experience with management and monitoring of data pipelines at scale, as well as related project management tools (e.g. Jira).
• Experience with GxP data.

This position is classified as exempt. The anticipated annual base salary range for candidates who will work in San Diego or remotely is $197,011 to $274,358. The final base salary offered to the successful candidate will be dependent upon several factors that may include but are not limited to the type and length of experience within the job, type and length of experience within the job, education, and other factors. Treeline Biosciences is a multi-state employer, and this salary range may not reflect positions that work in other cities or states.

Treeline Biosciences is committed to protecting the health and safety of our team. Our company requires all employees to be fully vaccinated against COVID-19, including a booster shoot. Proof of vaccination must be provided prior to the first day of employment. As required by applicable law, Treeline will consider requests for Reasonable Accommodations.