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Senior Data Scientist-AI Solutions

AbbVie

Senior Data Scientist-AI Solutions

AbbVie

Florham Park

·

On-site

·

Full-time

·

4d ago

Benefits & Perks

Healthcare

401k

Required Skills

Python

R

  • Connects with cross-functional teams to design work product and as an analytics consultant. Anticipates and identifies issues that could affect timelines or quality and develops options and solutions

  • Leads and helps establish the design principles and standards to ensure analytical work product is consistent across projects where appropriate and that user experience is optimized

  • In addition to standard statistical methods, develops prototypes, test methods and algorithms. Leverages emerging statistical methodologies, ML and AI to drive innovative analytical solutions to create insights

  • Enables data-driven insights to support of clinical development continuum, including precision medicine

  • Ensures adherence to federal regulations and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, Abb Vie Standard Operating Procedures (SOPs), and to functional quality standards. Stays abreast of new and/or evolving local regulations, guidelines and policies related to clinical development

  • Identify business needs and support the creation of standard KPIs, reports, and statistical analyses;

  • Responsible for coaching and mentoring junior team members.

  • Work side by side with cross-functional teams as an analytics consultant to strategize on how analytics can help evaluate the progress of clinical trials, as well as facilitate discussions around emerging risks; Applies machine learning techniques to validate assumptions and predict future behavior

  • Bachelor’s degree statistics, analytics, bioinformatics, data science or equivalent field. Master’s degree preferred

  • Must have 3-5 years of analytics-related experience in clinical research including demonstrated high-level analytics and leadership competencies.

  • Advanced career level proficiency in R, Python or other statistical packages. Intermediate-level knowledge of statistical and data mining techniques

  • Expert proficiency with visualization tools like Spotfire, Tableau or equivalent

  • Proven expertise with Machine Learning and other advanced analytics techniques

  • Demonstrated effective communication skills. Demonstrated ability to communicate analytical and technical concepts in layman’s terms

  • Demonstrated problem-solving and analytical skills

  • Demonstrated history of successful execution in a fast-paced environment and in managing multiple priorities effectively

  • Experience working in Cloud Computing environments (e.g., AWS, Azure, etc) is preferred

  • Preferred to have 1+ years experience with agentic frameworks such as Lang Graph, OpenAI agents, etc. (including orchestration with tool‑use), LLMs, vector databases, and retrieval pipelines (RAG).

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.

Abb Vie 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

Abb Vie'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 – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about Abb Vie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

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About AbbVie

AbbVie

AbbVie

Public

Pharmaceutical company.

10,001+

Employees

North Chicago

Headquarters

Reviews

3.7

1 reviews

Work Life Balance

3.0

Compensation

3.0

Culture

3.0

Career

3.5

Management

2.5

60%

Recommend to a Friend

Pros

Good resume experience for entry-level positions

Valuable work experience opportunity

Brand recognition benefits

Cons

Lack of explicit feedback on performance

Limited communication about role expectations

No clear guidance provided

Salary Ranges

88 data points

Junior/L3

Mid/L4

Senior/L5

Staff/L6

Director

Junior/L3 · Clinical Data Scientist - Centralized Monitoring & TA Analytics

1 reports

$123,500

total / year

Base

$95,000

Stock

-

Bonus

-

$123,500

$123,500

Interview Experience

6 interviews

Difficulty

2.8

/ 5

Duration

14-28 weeks

Offer Rate

17%

Experience

Positive 0%

Neutral 33%

Negative 67%

Interview Process

1

Application Review

2

Recruiter Screen

3

Hiring Manager Interview

4

Panel Interview

5

Final Interview

6

Offer

Common Questions

Behavioral/STAR

Past Experience

Technical Knowledge

Culture Fit