Senior Data Scientist I – Bioassay Data Scientist
Notify me about similar jobsAbout this opportunity
Company Description
About AbbVie
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube.
Job Description
The Global Research, Informatics & Platform Solutions team within the Information Research (IR) Division partners with scientists and research organizations across AbbVie to unlock the value of scientific data. By enabling effective management, integration, and use of high-quality research data and delivering informatics platforms and decision-support capabilities, the team helps transform complex scientific information into actionable insights that accelerate discovery, strengthen scientific decision-making, and improve the efficiency and effectiveness of research and development. The role serves as a key bridge of expertise between laboratory scientists and technology teams and is responsible for defining, stewarding, and expanding our bioassay knowledge graph, translating scientific workflows into data solutions, and building data visualizations/AI-enabled solutions that accelerate drug discovery.
Responsibilities:
Harmonization – apply previous biology/biochemistry wet lab experience and strong knowledge of biology data to harmonize knowledge graph data & derive knowledge statements.
Communicate – ability to communicate with scientists from Discovery teams to understand existing workflows, data flows & gather requirements.
Collaborative Design – understand the client’s needs, propose solutions, and independently develop appropriate solutions.
Build – Conceive, design, and implement technology solutions that integrate, visualize, and analyze complex multi-platform data; build pipelines to integrate data into systems/warehouses.
Integrate – understand the value in capturing data properly, integrating internal & external data sets and leveraging ontologies.
Support – provide solutions to performance-related issues and work with downstream systems to support bioassay-data-driven demands.
Technical Proficiency - Demonstrate high proficiency in technologies for data storage, transfer, integration, visualization, and advanced analytics.
Adaptability – ability to work on multiple, sometimes very different, projects at one time.
Breadth – contribute independently to a wide variety of projects related to enhancing drug discovery & development.
Evaluate - implement automation, AI, and advanced analytics opportunities to improve scientific workflows.
Qualifications
Required:
Bachelor's Degree and 6 years of experience; Master's Degree and 5 years of experience; PhD and 0 years of experience
Background in life sciences, biology, or equivalent required,
Working knowledge of drug discovery and development process
Understanding of biological ontologies
Experience working with bioassay data required.
Understanding of knowledge graphs with ability to enhance our existing biology data
Dedicated team player who can interface with stakeholders from a variety of internal IT disciplines (DBAs, architects, developers, etc.) and external customers (discovery scientists, therapeutic area scientists, etc.)
Strong familiarity with data visualization and pipelining tools such as Spotfire, or equivalent
Demonstrated data visualization skill and experience with flexible plotting libraries (D3, ggplot2, plotly) and/or visualization platforms.
Ability to work independently, multi-task, and work within timelines.
Outstanding verbal, written and interpersonal skills for cross-functional collaboration, including documenting and presenting technical solutions to non-technical stakeholders.
A self-motivated learner and thinker with a hands-on approach
Preferred:
Demonstrated technical proficiency in the pharmaceutical industry highly preferred.
Previous in vitro biology wet lab experience preferred.
Experience with LIMS, ELN, and other scientific software preferred.
Strong programming proficiency in Python (and other modern languages) desired.
Additional Information
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
This job is eligible to participate in our short-term incentive programs.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html
Job details
How this role compares
Computed from every other active Biostatistics & Data Science role in our database, not just this employer's listings.
We currently track 160 comparable Senior Biostatistics & Data Science roles across 31 biopharma companies.
Salary context
65 of 160 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 160 comparable roles
+ 13 more countries
Seniority mix
160 of 160 peers have a known seniority level
Therapeutic area mix
14 of 160 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
Open in 2 locations
Notify me about similar jobs
Get an email when we spot other openings like this one – same job function, comparable seniority, roles you'd actually want to see.
Or follow a whole field: get every new Biostatistics & Data Science job in the United States, and choose locations and companies.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.