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Associate Scientific Director, Data Science

Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Master’s degree in computer science or related field, Minimum of 6 years relevant experience, Exceptional record with AI/ML techniques, Strong experience in Python and R ecosystems.

Key responsabilities:

  • Apply machine learning and AI techniques to drug development problems
  • Collaborate with scientists, clinicians, and data specialists
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Job description

Job Title: Associate Scientific Director, Data Science

Job Location: Billerica, MA, USA

Job Location Type: Remote

Job Contract Type: Full-time

Job Seniority Level: Mid-Senior level

Work Your Magic with us! Start your next chapter and join EMD Serono.

Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.

United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe.

Your Role

You will work with scientists and clinicians, primarily across our neurology and immunology therapeutic areas, applying machine learning and AI techniques to many of the most pressing problems in drug development. You will be part of a data sciences team that uses molecular, medical, and literature datasets to

  • match drugs to the patients who most need them
  • elucidate drugs’ mechanism of action
  • identify biomarkers for response and safety
  • refine clinical trial designs
  • discover or prioritize candidate drug targets

In your projects, you will work across datatypes and settings: collections of >10^6 single cells, MRI images, the biomedical literature, or large real-world datasets (eg, insurance claims, electronic healthcare records). You will work with the biologists, clinicians, biomarker specialists, and other non-computational scientists as well as other data scientists.

Who You Are

You have a background in computer science or data science and a track record of project work and publications that show you know how to apply AI and ML techniques to a variety of scientific problems. Your experience demonstrates an understanding of the underlying math, common tools, good implementation practices and engineering skills, knowledge of relevant biological and medical data types, and the business sense to connect your skills to others’ needs. You have experience with data from multiple areas, ideally in the healthcare domain (for example, image recognition or processing; natural language processing; EHRs, insurance claims, or other medical datasets; or single-cell datasets) but possibly in other business areas.

Minimum Qualifications

  • Master’s degree in computer science or related field
  • Minimum 6 years relevant experience
  • Exceptional record applying ML and AI techniques to scientific problems reflecting substantial experience with at least one major area of AI/ML such as deep neural networks, LLMs, embeddings, transformers, GCNs, auto-encoders, etc. Experience with hyperparameter tuning and methods to ensure model generalization.
  • Strong experience with Python and R ecosystems for machine learning (including several ML libraries) and reproducible research
  • Strong hands-on experience using scalable computing techniques in a high-performance computing environment to overcome performance limitations and challenges from large datasets
  • Experience with one or more big data environments or tech stacks

Preferred Qualifications

  • PhD in computer science, data science, machine learning, or related field
  • Experience in pharma or biotech
  • Full stack experience with one or more ML environments or tools – ability to take over for data engineering or ML ops as needed.
  • Experience with statistics and non-ML data analyses

Location: Position can be remote. Prefer someone in the Boston area.

What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We celebrate all dimensions of diversity and believe that it drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!

Apply now and become a part of our diverse team!

If you would like to know more about what diversity, equity, and inclusion means to us, please visit https://www.emdgroup.com/en/company/press-positions.html


Lifelancer ( https://lifelancer.com ) is a talent-hiring platform in Life Sciences, Pharma and IT. The platform connects talent with opportunities in pharma, biotech, health sciences, healthtech and IT domains.

For more details and to find similar roles, please check out the below Lifelancer link.

https://lifelancer.com/jobs/view/f0839f290a368d263b01902d483fb87a

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Teamwork
  • Communication
  • Problem Solving

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