Data Scientist - Life Sciences

Job Locations UK-Glasgow
Requisition ID
Job Category
Research and Development
Travel Requirements


Data Scientist - Hybrid 


Nice to meet you!


We’re the leader in analytics. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers.


We’re also a debt-free multi-billion-dollar organization on our path to IPO-readiness. If you're looking for a dynamic, fulfilling career coupled with flexibility and world-class employee experience, you'll find it here.


About the job

The Analytics Center of Excellence (COE) team is looking for an AI Data Scientist. You will use state-of-art advanced analytics software to design, build and implement innovative solutions for our life science and biotechnology industry customers. You will support customer use case discovery and will contribute to life science analytics strategy for SAS innovation. You will work closely with customers, software developers, account executives and pre-sales support professionals to meet the need of SAS customers. You will work collaborate with R&D and product management teams to improve SAS solutions and analytical products based on customer project experience.


You should have a strong passion for solving SAS customer problems and enjoy spending your time and effort on sharpening your skills and extending your knowledge. You should be curious and adaptable – this is an evolving space, things will change. Finally, we expect you to be authentic and accountable – work hard, be committed to excellence, and deliver results.


Our team, Analytics Center of Excellence (COE), within SAS R&D leads the design, development, and implementation of machine learning solutions for SAS customers across many industries such as life science, biotechnology, CPG, manufacturing among others.


As a Data Scientist, you will

  • Design, build, and implement pioneering solutions for our life science and biotechnology customers.
  • Support the discovery of customer use cases and contribute actively to SAS's life science analytics strategies.
  • Engage closely with customers, software developers, account executives, and pre-sales support teams, ensuring that SAS customers' needs are always met,
  • Collaborate with fellow data scientists in developing Machine Learning models to address SAS clients' business challenges.
  • Create and present demos showcasing the capabilities of machine learning in resolving life science and biotech challenges.
  • Work alongside our R&D and product management units to refine SAS solutions and analytical tools, drawing from your experiences with customer projects.

Required Qualifications:

  • PhD or Masters with equivalent experience in Biostatistics, Bioinformatics, Computer Science, or a related discipline.
  • Proficient programming skills, especially in Python and/or SAS.
  • Demonstrated experience in machine learning, statistics, and deep learning techniques applied to HLS applications.
  • Stellar presentation skills to diverse audiences, from C-level executives to technical teams.
  • Exceptional communication skills, both written and verbal.
  • Proven problem-solving prowess.
  • Ability to thrive in both team and solo settings.
  • Equivalent combination of education, training and experience may be considered in place of the above qualifications.
  • You’re curious, passionate, authentic and accountable. These are our values and influence everything we do.

Preferred Qualifications:

  • A minimum of 1 year in the life sciences industry.
  • Familiarity with SAS software.
  • Experience with deep learning frameworks such as PyTorch or TensorFlow.

Diverse and Inclusive

At SAS, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our diverse workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. Our commitment to diversity is a priority to our leadership, all the way up to the top; and it’s essential to who we are. To put it plainly: you are welcome here.


Additional Information:

SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to race, color, religion, gender, sexual orientation, gender identity, age, national origin, disability status, protected veteran status or any other characteristic protected by law.


All valid SAS job openings are located on the Careers page at SAS only sends emails from verified “” email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, for, or on behalf of SAS, please contact us at before taking any further action.




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