Director, Oncology Data Science

Merck Sharp & Dohme LLC
Boston, MA, United States
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$194,100.0 - $305,600.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Data Analysis Bioinformatics Computational Biology Computer Simulation Data Mining Data Warehousing Machine Learning Scientific Computating Deep Learning Data Analytics

Job description

The Translational Genome Analytics group within the Data, AI & Genome Sciences Department is recruiting a Director of Oncology Data Scientist to join our multi-modal biomarker discovery team. We are seeking an experienced and innovative computational scientist to perform data mining of multi-modal tumor profiling datasets and inform decisions across all stages of our company’s expanding oncology pipeline.

Requirements

  • Master’s (with 10+ years) or Ph.D. (with 6+ years) in quantitative discipline such as Engineering, Applied Physics/Mathematics, Bioinformatics, Computational Biology or related field with a significant computational and statistical component and relevant experience in pharma, biotech or academic setting.

Required Experience and Skills:

  • Experience in applying computational methods in cancer biology.

  • Demonstrated expertise in the application of methods of statistical learning and data mining to the integrative analysis of multimodal, high-dimensional tumor profiling datasets in the oncology and immuno-oncology context.

  • Hands-on analysis experience with the application of machine learning algorithms to large clinico-genomic, genetic and immunogenomic real-world and clinical trial datasets.

  • Extensive experience and demonstrated expertise to code in scientific computation environments with adoption of best practices for reproducible data analyses.

  • Strong communication and presentation skills; ability to guide and influence decisions through use of data-driven hypotheses; attention to detail.

  • Independent, flexible and collaborative mindset

Preferred Experience and Skills:

  • Demonstrated experience with analysis of large-scale multi-modal data originating from clinical trials and real-world datasets.

  • Deep understanding of the major concepts of cancer biology as represented in multi-modal molecular and imaging data.

  • Experience within a matrixed industry environment and ability to effectively collaborate with colleagues from a wide range of disciplines.

  • Record of publishing in high profile scientific journals, Bioinformatics, Cancer Genomics, Cancer Research, Computational Biology, Computational Methods, Data Science, Deep Learning, High Dimensional Data Analysis, Immuno-Oncology, Machine Learning (ML), Multimodal Analysis, Oncology, Real World Data, Statistical Learning

Benefits & conditions

We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.

Learn more about your rights, including under California, Colorado and other US State Acts (https://www.msdprivacy.com/us/en/CCPA-notice/)

The salary range for this role is

$194,100.00 - $305,600.00

About the company

Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.juju.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:31 min

Data mining literary works for language patterns

Jen Looper Jen Looper · Europe 2026 Virtual

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · WWC 2023

1:25 min

Distinguishing artificial intelligence from deep learning

Sam Witteveen · Coffee With Developers

3:28 min

Utilizing artificial intelligence to analyze neurodegenerative diseases

Jeremy Murray Jeremy Murray · WWC Europe 2026

4:25 min

Analyzing web accessibility data at scale

Karl Groves Karl Groves · LIVE

1:19 min

Empowering life science researchers with artificial intelligence

Jeremy Murray Jeremy Murray · WWC Europe 2026

Videos

See all

Related articles

See all