Machine Learning Engineer, Omics and Patient Data Integration at Biogen in Cambridge, Massachusetts

Job Description:

Job Description

About This Role

Biogen studies highly complex, devastating, and burdensome diseases and there are still significant challenges in how we understand and treat them.

In the Quantitative Sciences Development Organization, we aspire to transform patients' lives by accelerating disease research using best in breed and emerging techniques. Leveraging applied machine learning and emerging technologies, we drive solutions to advance research, clinical care, and patient empowerment.

We stand with our colleagues across Biogen developing pioneering treatments. We believe that now, more than ever, biology and technology should go hand-in-hand to better meet patient needs, while enabling a shift towards more prevention-focused, affordable, and equitable care.

What You'll Do

As a Machine Learning Engineer - Omics & Patient Data Integration, you will:

• Integrate omics data (genomics, transcriptomics, proteomics, etc.) with real-world data sources (large-scale biomedical data, patient registries, EHRs, etc.) to develop and implement advanced statistical and machine learning models to support decision-making in clinical trials.


• Support integration, design and development of novel measures, models, and metrics to assess model validity and performance in both training and inference stages.


• Communicate findings and insights through clear and concise reports, presentations, and visualizations.


• Collaborate closely with cross-functional teams, including clinical researchers, biostatisticians, and IT specialists, to ensure data quality and integrity.

Who You Are

You are passionate about exploring and establishing new methods for looking at data across devices, applications, data streams, and diseases. You love figuring out how to create mathematical and statistical models that relate human biology, clinical development to business outcomes and patient needs.

Qualifications

Required Skills

• >= 5 years Pharma/Biotech/Tech/Healthcare industry experience, alternatively extensive experience in academic/clinical centers of excellence


• Proven experience in developing and deploying machine learning models and statistical analysis, preferably in the context of omics data and healthcare applications


• Expertise in leveraging omics data along with electronic health records and other data sources derived from clinical care via state-of-the-art methodologies, programming languages, and tools.


• Experience in managing complex, interdisciplinary research, and development projects, especially in the fields of software and technology implementation


• Profound experience in data science, machine learning, and data engineering programming using R and Python and higher-level libraries such as tidyverse, ggplot, mlr, tidymodels, numpy, pandas, scipy, statsmodels, scikit-learn, TensorFlow, matplotlib, Plotly or similar

Preferred Skills

• Experienced in communicating and building consensus on difficult or sensitive information with technology and business teams


• Familiarity and experience working on machine learning and data science problems using formal software development lifecycle approaches and best practices


• Formal application of principles of empirical science including statistical modeling, design of experiments, and hypothesis formulation and testing


• Advanced degree quantitative science such as statistics, applied mathematics or computational biology  

Additional Information

The base compensation range for this role is $107,000 - $171,000. Base salary is determined by a combination of factors including, but not limited to, job related years of relevant experience, internal equity, and location of the job. Additionally, this role is eligible for participation in Biogen's LTI grants and other incentive programs. Biogen offers a full range of benefits that include medical, dental, life, long and short-term disability insurances, vacation, end-of-year shutdown, and 401K participation and matching contributions.

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.

 

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