Novo Nordisk

Senior Data Scientist (Plainsboro, NJ, US)

Plainsboro, United States Type not listed
Biostatistics & Data Science Senior

Novo Nordisk is the source of truth for this posting and owns the application process. We surface normalized context and market comparison you won't find on the original listing.

About this opportunity

About the Department 

The Finance & Operations department brings insights and intelligence to inform decision making & drives digitalization and business solutions to attain NNI goals. Finance & Operations works closely across the organization to guide enterprise-wide resource allocations, investment choices, drive core operations and develop insights to drive growth and operational excellence across the value chain while innovating for future capabilities. Our focus on innovation ensures we're constantly building future capabilities. We're responsible for regulating accounting, upholding workplace safety, managing our supply chain and sampling, supporting technological and data innovation, maintaining our facilities and assuring the integrity and completeness of all business transactions. At Novo Nordisk, you will have the opportunity to build a career in a global business environment. We encourage our employees to make the most of their talent, and we reward hard work and dedication with opportunities for continuous learning and personal development. Are you ready to maximize your potential with us?

The Position

The Senior Data Scientist will help drive the NNI Advanced Analytics vision to explore and develop new solutions that may hold the potential to add value to patients and Novo Nordisk in the future within therapeutic areas covered by Novo Nordisk corporate and commercial strategies. The Senior Data Scientist will build machine learning-based tools and processes within the company’s current big data infrastructure such as recommendation engines, automated propensity scoring systems, and A/B testing procedures. The Senior Data Scientist will work with Novo Nordisks Big Data Analytics COE and other similar roles in Medical Information and Analytics, Medical Data Analytics, and HR People Research and Analytics to help foster and grow a community of predictive and prescriptive analytics.

Relationships

The Senior Data Scientist reports to the Director of Data Science. Internal relationships include other Commercial Effectiveness functions, especially Analytics and Data Governance; Big Data Analytics COE, Commercial Product and Portfolio personnel, and Area Commercial Leads. Extended internal relationships could include those in other Data Science/Data Science-like roles in Clinical, Medical, Regulatory, Human Resources, Global Development and Seattles Device Research center. External relationships include relationships with commercial collaboration partners as well as academia, where necessary.

Essential Functions

The Senior Data Scientist is expected to: Develop Machine Learning-based solutions using available commercial data, including but not limited to, IQVIA (IMS) data, Real World Data (e.g., Truven), Financial Data, Sales Force Automation (e.g., Veeva) data, and integrated campaign management (e.g., Adobe) data

Build and maintain processes to acquire, process and curate necessary data for analysis and insights

Mine and analyze data to identify insights pertaining to dynamic and/or micro segmentation of patient, physician, and payer/delivery providers

Translate analytic insights into real world solutions

Design methods to generate real-time predictive and descriptive analytics from big datasets

Take responsibility in making new, relevant solutions to real Commercial problems and be able to show successful implementation

Occasionally participate in network with external collaboration partners, e.g., academia, other Pharmaceutical and Non-pharmaceutical Data Science departments specializing in improving commercial results through data science techniques

Physical Requirements

0-10% overnight travel required.

Qualifications

Education:  A minimum of a Bachelor's Degree within relevant field (e.g., Computer Science, Applied Mathematics, Physics, Engineering)  Advanced degree may be substituted for experience as appropriate

8 years of experience from relevant industry such as pharmaceutical, biotechnology, consumer product, or medical device industries.

Required knowledge related to machine learning, including supervised, unsupervised, reinforced (deep) learning methods and ensemble learning methods.  Specifically, algorithms such as k-NN, Linear and Generalized Linear Models, naml, Bayes, SVM, and Random Forest

Preferred knowledge related to how pharmaceutical companies market and sell products, market forces that impact decisions made to improve commercial outcomes, and how machine learning models can improve such outcomes

Excellent written and oral communication skills required

Proven ability to influence, communicate, and collaborate across the local organization

Broad, detailed understanding and mastery of technical area with a track record of analyzing critical data through the application and optimization of distinct analytical skills

Record of translating technical mastery to significant project impact

Ability to work independently as well as working in teams. Included in this is the ability to network with external parties

Demonstrated ability to generate valuable and relevant ideas, create concepts based on ideas, and develop new solutions based on concepts

Deep knowledge of at least one relevant technical area: computer science, computational statistics, including Bayesian inference, mathematics, or systems dynamics

Required experience within several of the following areas:

Experience with analytics tools such Python, R, or SAS and SQL, PowerPivot

The base compensation range for this position is $120,300 to $222,600. Base compensation is determined based on a number of factors. This position is also eligible for a company bonus based on individual and company performance. Novo Nordisk offers long-term incentive compensation and or company vehicles depending on the position's level or other company factors.

Employees are also eligible to participate in Company employee benefit programs including medical, dental and vision coverage; life insurance; disability insurance; 401(k) savings plan; flexible spending accounts; employee assistance program; tuition reimbursement program; and voluntary benefits such as group legal, critical illness, identity theft protection, pet insurance and auto/home insurance. The Company also offers time off pursuant to its sick time policy, flex-able vacation policy, and parental leave policy.

We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.

At Novo Nordisk, we're not chasing quick fixes – we're creating lasting change for long-term health. For over 100 years, we've been driven by a single purpose: to defeat serious chronic diseases and help millions of people live healthier lives. This dedication fuels our constant curiosity and inspires us to push the boundaries of what's possible in healthcare. We embrace diverse perspectives, seek out bold ideas, and build partnerships rooted in shared purpose. Together, we're making healthcare more accessible, treating and defeating diseases, and pioneering solutions that create change spanning generations. When you join us, you become part of something bigger – a legacy of impact that reaches far beyond today.

Novo Nordisk is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, protected veteran status or any other characteristic protected by local, state or federal laws, rules or regulations.

If you are interested in applying to Novo Nordisk and need special assistance or an accommodation to apply, please call us at 1-855-411-5290. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.

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Job details

Seniority
Senior
Function
Biostatistics & Data Science
Therapeutic area
Not listed
Location
Plainsboro, United States
Employment type
Not listed

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 62 comparable Senior Biostatistics & Data Science roles across 16 biopharma companies.

62Comparable roles tracked
54Currently active
16Companies hiring similar roles
13Countries represented

Salary context

22 of 62 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.

This roleSubject Not listed on this posting
Lowest disclosed · Sr. Computational Statistician (R2 – R3) · Lilly $46,842/yr – $117,289/yr
Highest disclosed · Principal Scientist, Biostatistics · Merck $190,800/yr – $300,300/yr
Peer group range $82,066 – $245,550 (median $180,500)

Where these roles are based

Top locations among the 62 comparable roles

United States30
India7
United Kingdom5
Japan4
Germany3
China2

+ 7 more countries

Seniority mix

62 of 62 peers have a known seniority level

Senior26
Principal25
Associate Director11

Therapeutic area mix

1 of 62 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden

Oncology1

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.

60%similar
Lilly Indianapolis, Indiana, United States of America Senior
Same function Same seniority Same country
60%similar
Lilly Indianapolis, Indiana, United States of America Senior
Same function Same seniority Same country
60%similar
Lilly Indianapolis, Indiana, United States of America Senior
Same function Same seniority Same country
60%similar
Lilly Indianapolis, Indiana, United States of America Senior
Same function Same seniority Same country
60%similar
Merck North Wales, Pennsylvania, United States of America Senior
Same function Same seniority Same country
60%similar
AbbVie Worcester, MA Senior
Same function Same seniority Same country

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.

60%
Sr. Advisor - Statistics (RWE)
Lilly · Indianapolis, Indiana, United States of America · Senior
Function Therapeutic area Seniority Country
60%
Sr. Computational Statistician
Lilly · Indianapolis, Indiana, United States of America · Senior
Function Therapeutic area Seniority Country
60%
Senior Scientist I - Bioinformatics, Biotherapeutics and Genetic Medicine
AbbVie · Worcester, MA · Senior
Function Therapeutic area Seniority Country
60%
Sr Specialist, Data Science
Merck · North Wales, Pennsylvania, United States of America · Senior
Function Therapeutic area Seniority Country
Unmatched or unknown dimensions score exactly the same: 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.