Senior Data Scientist I – Bioassay Data Scientist

Description

This group sits within the Information Research Division and supports laboratory and research teams by managing and integrating high-quality research data and building informatics platforms and decision-support tools.

You will own and grow the bioassay knowledge graph, turn lab workflows into data solutions, and build visualizations and AI-enabled tools that speed up drug discovery.

You act as the link between bench scientists and technology teams.

Responsibilities

• Gather requirements by talking with discovery scientists about their current workflows and data flows.
• Propose solutions that fit each client's needs and build them independently.
• Design and implement technology that integrates, visualizes and analyzes complex data from several platforms, including pipelines that load data into systems and warehouses.
• Harmonize knowledge graph data using your wet lab biology or biochemistry background, and write knowledge statements.
• Bring together internal and external datasets, apply ontologies, and make sure data is captured correctly.
• Resolve performance problems and work with downstream systems that depend on bioassay data.
• Apply automation, AI and advanced analytics to improve scientific workflows.
• Work on several projects at once, some very different, and contribute across a broad range of drug discovery and development work.
• Build strong skills in tools for data storage, transfer, integration, visualization and advanced analytics.

Requirements

• Required: a Bachelor's Degree with 6 years of experience, a Master's Degree with 5 years of experience, or a PhD with 0 years of experience.
• Required: a background in life sciences, biology or an equivalent field.
• Required: working knowledge of how drugs are discovered and developed.
• Required: understanding of biological ontologies.
• Required: experience with bioassay data.
• Required: understanding of knowledge graphs and the ability to enhance existing biology data.
• Required: a team player who works with IT staff such as DBAs, architects and developers, and with external customers such as discovery and therapeutic area scientists.
• Required: solid familiarity with visualization and pipelining tools such as Spotfire or equivalent.
• Required: demonstrated visualization skill with flexible plotting libraries such as D3, ggplot2 or plotly, and/or visualization platforms.
• Required: ability to work independently, juggle multiple tasks and meet timelines.
• Required: outstanding verbal, written and interpersonal skills for cross-functional work, including documenting and presenting technical solutions to non-technical stakeholders.
• Required: a self-motivated learner and thinker with a hands-on approach.
• Preferred: demonstrated technical proficiency in the pharmaceutical industry, highly preferred.
• Preferred: previous in vitro biology wet lab experience.
• Preferred: experience with LIMS, ELN and other scientific software.
• Desired: strong Python programming proficiency and skill in other modern languages.

Conditions

Base pay falls within a range the company believes in good faith it will pay for this grade; the actual amount depends on factors such as geographic location and may be above or below the range, and the range may change.

The pay range applies only to applicants in locations with pay disclosure requirements under state or local law.

Open only to applicants in the US and Puerto Rico.

The company is an equal opportunity employer that welcomes veterans and disabled candidates.

Benefits

• Paid time off for vacation, holidays and sick leave, plus medical, dental and vision insurance and a 401(k), for eligible employees.
• The job is eligible for short-term incentive programs.
• Bonuses, incentives and other benefits remain at the company's sole discretion until paid and may be changed in line with applicable law.