Lead of Digital Marketing Measurement and Data Science

Cambridge, MA

Open 6 months, first seen by us 203 days ago

Pay: $139,000–186,000/year · BaseAnnual period assumed — pay source
Job Level: Management Additional Information The base compensation range for this role is: $139,000.00-$186,000.00 Base salary offered is determined through an analytical approach utilizing a combination of factors including, but not limited to, relevant skills & experience, job location, and internal equity. Regular employees are eligible to receive both short term and long-term incentives, including cash bonus and equity incentive opportunities, designed to reward recent achievements and recognize your future potential based on individual, business unit and company performance.
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Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

The lead of digital marketing measurement and data science is responsible for driving US business performance across digital marketing.

Conduct patient journey analyses, HCP segmentation and marketing mix optimization
Lead development of statistical and machine learning models on digital media and channels
Develop attribution models to optimize message timing and impact across channels
Give US brand managers recommendations on HCP reach using channel KPIs
Define measurement strategy with third-party vendors and agencies

From the employer’s posting

The lead of digital marketing measurement and data science is responsible for driving US business performance across digital marketing. The role will measure and analyze digital data (e.g. CRM streams, paid media, and website data) to assess promotional effectiveness, support optimization efforts, and make data-driven recommendations. The individual will partner closely with US Marketing, US BIO, and creative agencies to develop statistical and machine learning models. The scope of this role is patient and healthcare professional analytics in the Neuropsychiatry therapeutic area.

Conduct patient journey analyses, HCP segmentation, marketing mix optimization from a Digital measurement lens

Lead the development of statistical and machine learning models to quantify the effect and interactions that affect patients’ and their healthcare journeys with a focus on digital media and channels

Develop attribution model solutions to optimize the delivery and timing of messages and maximize the impact across different channels

Provide recommendations to US brand managers on health care providers reached by the field, email, media, and website by monitoring channel KPIs

Partner with third-party vendors/agencies to define measurement strategy.

What you’ll bring

All qualifications

Core experience

Bachelor’s degree required; Advanced technical degree preferred (e.g., math, physics, engineering, finance, or computer science)
Experience building models for media mix analysis
Ability to translate technical information to non-technical business partners
Experience in model development, validation, and implementation
Experience working with large datasets and ability to write SQL for data extraction and manipulation
Proficiency in programming languages such as Python or R for data analysis and modeling

Preferred experience

80 hours of sick time per calendar year
401(k) program participation with company matched contributions

Qualification wording

Bachelor’s degree required; Advanced technical degree preferred (e.g., math, physics, engineering, finance, or computer science)

Experience building models for media mix analysis

Ability to translate technical information to non-technical business partners

Experience in model development, validation, and implementation

Experience working with large datasets and ability to write SQL for data extraction and manipulation

Proficiency in programming languages such as Python or R for data analysis and modeling

80 hours of sick time per calendar year

401(k) program participation with company matched contributions

Education & alternatives

Required Skills - Bachelor’s degree required; Advanced technical degree preferred (e.g., math, physics, engineering, finance, or computer science) - Minimum 5 years of experience working in an advanced analytics role

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Posting record

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Open 6 monthsWe first saw this posting 203 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Apr 15, 2026203 days ago
Recorded sightings: 283
Last seen by us: Nov 4, 2026
Employer says posted: Jun 16, 2025

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$139K–$186K against $118K–$193K, the middle half of what similar US postings state.

From 3,721 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 203

Up longer than most. Similar jobs usually come down between day 7 and day 55.

From 10,019 similar postings that came down. Coming down is not always a hire.

Biibhr is hiring

10 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring has slowed
Takes jobs down at a usual pace
20% of open jobs were reposted

Hiring record

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R
SQL

Where the posting names them

- Experience working with large datasets and ability to write SQL for data extraction and manipulation - Proficiency in programming languages such as Python or R for data analysis and modeling - Depth of experience with CRM analytics, website analytics, digital media analytics, and digital media strategy required. Must be able to leverage digital data to inform and guide media and digital marketing strategy

- Experience in model development, validation, and implementation - Experience working with large datasets and ability to write SQL for data extraction and manipulation - Proficiency in programming languages such as Python or R for data analysis and modeling

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025: $120,230
Expected change, 2025 to 2035: 34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

About This Role

The lead of digital marketing measurement and data science is responsible for driving US business performance across digital marketing. The role will measure and analyze digital data (e.g. CRM streams, paid media, and website data) to assess promotional effectiveness, support optimization efforts, and make data-driven recommendations. The individual will partner closely with US Marketing, US BIO, and creative agencies to develop statistical and machine learning models. The scope of this role is patient and healthcare professional analytics in the Neuropsychiatry therapeutic area.

What You’ll Do

Collaborates with marketing product managers, omnichannel (OCE) team members, field excellence and agency partners to understand key business questions and marketing objectives
Conduct patient journey analyses, HCP segmentation, marketing mix optimization from a Digital measurement lens
Develop and implement data-driven solutions using advanced analytics and machine learning techniques, predictive algorithms, and AI-powered tools to assist in resource allocation and to streamline processes
Lead the development of statistical and machine learning models to quantify the effect and interactions that affect patients’ and their healthcare journeys with a focus on digital media and channels
Develop statistical model-based Omni-channel marketing solutions based on rich and complicated healthcare data to optimize the delivery of messages and maximize the impact across different channels
Develop attribution model solutions to optimize the delivery and timing of messages and maximize the impact across different channels
Develop patient journey experience to understand how key symptoms led to diagnoses
Provide recommendations to US brand managers on health care providers reached by the field, email, media, and website by monitoring channel KPIs
This work involves personally initiating and conducting analyses, collaborating with the internal team to conduct analyses, and directing partners in performing monthly, quarterly, and ad-hoc deliverables.
Partner with third-party vendors/agencies to define measurement strategy. Ensure the necessary data will be available at the right level to enable evaluation and optimization of marketing programs

Qualifications

Required Skills

Bachelor’s degree required; Advanced technical degree preferred (e.g., math, physics, engineering, finance, or computer science)
Minimum 5 years of experience working in an advanced analytics role
Experience building models for media mix analysis
Ability to translate technical information to non-technical business partners
Experience in model development, validation, and implementation
Experience working with large datasets and ability to write SQL for data extraction and manipulation
Proficiency in programming languages such as Python or R for data analysis and modeling
Depth of experience with CRM analytics, website analytics, digital media analytics, and digital media strategy required. Must be able to leverage digital data to inform and guide media and digital marketing strategy
Efficient analytical problem-solving skills with the ability to quickly scope and deliver on an analytical ask and to work iteratively to refine a solution as needed
Collaborate effectively with cross-functional partners such as Insights & Analytics, Field Excellence, Omnichannel Excellence, and Alliance Partners
In addition to a strong record of analytic and quantitative work, successful candidates will also have broadly applicable consulting skills: strong oral and written communication skills with both technical and non-technical audiences; ability to synthesize information into a logically structured PowerPoint deliverable; close attention to detail, with a quality-focused mindset; aptitude for, and enjoyment of, working in teams
Robust project management and cross-functional coordination skills
High intellectual curiosity, that can proactively identify and lead analyses that yield actionable optimizations
Driven, highly self-motivated, confident, high-energy, bright, and creative individual with the desire and ability to own a high-profile part of the business

Preferred Skills:

Biotech/pharma experience preferred

Job Level: Management

Additional Information

The base compensation range for this role is: $139,000.00-$186,000.00

Base salary offered is determined through an analytical approach utilizing a combination of factors including, but not limited to, relevant skills & experience, job location, and internal equity.

Regular employees are eligible to receive both short term and long-term incentives, including cash bonus and equity incentive opportunities, designed to reward recent achievements and recognize your future potential based on individual, business unit and company performance.

In addition to compensation, Biogen offers a full and highly competitive range of benefits designed to support our employees’ and their families physical, financial, emotional, and social well-being; including, but not limited to:

Medical, Dental, Vision, & Life insurances
Fitness & Wellness programs including a fitness reimbursement
Short- and Long-Term Disability insurance
A minimum of 15 days of paid vacation and an additional end-of-year shutdown time off (Dec 26-Dec 31)
Up to 12 company paid holidays + 3 paid days off for Personal Significance
80 hours of sick time per calendar year
Paid Maternity and Parental Leave benefit
401(k) program participation with company matched contributions
Employee stock purchase plan
Tuition reimbursement of up to $10,000 per calendar year
Employee Resource Groups participation

Why Biogen?

We are a global team with a commitment to excellence, and a pioneering spirit. As a mid-sized biotechnology company, we provide the stability and resources of a well-established business while fostering an environment where individual contributions make a significant impact. Our team encompasses some of the most talented and passionate achievers who have unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life-changing medicines, with every role playing a vital part in our mission. Caring Deeply. Achieving Excellence. Changing Lives.

At Biogen, we are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients we serve. We know that diverse backgrounds, cultures, and perspectives make us a stronger and more innovative company, and we are focused on building teams where every employee feels empowered and inspired. Read on to learn more about our DE&I efforts.

All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States.

Source details

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Pay

Job Level: Management Additional Information The base compensation range for this role is: $139,000.00-$186,000.00 Base salary offered is determined through an analytical approach utilizing a combination of factors including, but not limited to, relevant skills & experience, job location, and internal equity. Regular employees are eligible to receive both short term and long-term incentives, including cash bonus and equity incentive opportunities, designed to reward recent achievements and recognize your future potential based on individual, business unit and company performance.

Location & working pattern