Senior Scientist, Bioinformatics

Merck; Cambridge (MA); Hybrid; USD 85,000 - 120,000; Full time

Job summary

A leading company in the biotechnology sector is looking for a Spatial Transcriptomics Computational Expert to join their research team in Cambridge, MA. You will play a vital role in analyzing spatial transcriptomics datasets, utilizing advanced computational techniques and collaboration with biologists to drive innovations in immunological disease research. This position requires a Ph.D. and expertise in computational biology, AI/ML, and bioinformatics.

Qualifications

• Two years of experience in spatial transcriptomics and multi-omics data.
• Strong computational skills with Python and R.
• Experience with cloud computing platforms and high-performance computing.

Responsibilities

• Develop and optimize computational pipelines for spatial transcriptomics data.
• Apply statistical inference and AI/ML methods for spatial domain identification.
• Collaborate with experimental biologists on analysis strategies.

Skills

Computational Biology

Bioinformatics

Machine Learning

Data Analysis

Statistical Methods

Programming (Python, R)

Data Visualization

Education

Ph.D. in Computational Biology, Bioinformatics, Biostatistics, or related field

Tools

Seurat

Scanpy

Giotto

HALO

AWS

Job description

Job Description

The Data, AI, and Genome Sciences department is seeking a highly motivated and exceptionally skilled Spatial Transcriptomics Computational Expert to join our Translational Genome Analytics research team based in Cambridge, MA. This individual will play a crucial role in analyzing and interpreting complex spatial transcriptomics datasets generated using various cutting-edge platforms. The ideal candidate will possess a deep understanding of computational biology, statistical methods, AI/ML and bioinformatics pipelines, with a proven track record of independently developing and applying advanced analytical approaches to extract meaningful biological insights from spatially resolved transcriptomic data. This is an exciting opportunity to contribute to groundbreaking research and drive discoveries in complex immunological diseases to inform novel target identification and mechanisms of drug action.

In this exciting role, you will:

• Develop, implement, and optimize computational pipelines for the processing, quality control, normalization, integration, and analysis of spatial transcriptomics data (e.g., 10x Xenium/Visium, Nanostring CoxMx/GeoMx, MERFISH, seqFISH).

• Apply advanced statistical inference and AI/ML methods for

  • Spatial domain identification and characterization.

  • Cell type deconvolution and spatial mapping.

  • Identification of spatially variable genes and pathways.

  • Analysis of cell-cell interactions and spatial relationships.

  • Integration of spatial transcriptomics data with other omics datasets (e.g., single-cell RNA-seq, proteomics, imaging).

• Develop novel computational tools and algorithms to address specific challenges in spatial transcriptomics data analysis.

• Collaborate closely with experimental biologists to understand biological questions, design analysis strategies, and interpret results.

• Effectively communicate complex computational findings to both computational and experimental colleagues through clear visualizations, reports, and presentations.

• Stay up-to-date with the latest advancements in spatial transcriptomics technologies, computational methods, and relevant biological fields.

• Contribute to the preparation of manuscripts, presentations, and intellectual property filings.

• Maintain meticulous documentation of codes, pipelines, and analyses.

Qualifications:

Education:

• Ph.D. in Computational Biology, Bioinformatics, Biostatistics, Computer Science or a related field and relevant experience listed below.

Required Experience and Skills:

• Two (2) years of in-depth research experience with spatial transcriptomics, multi-omics data integration and analysis in such fields as data science, computational biology or bioinformatics.

• Demonstrable strong computational background with extensive experience in programming languages such as Python and R. Proficiency in other languages (e.g., C++, Java) is a plus.

• Deep understanding of statistical principles and AI/ML algorithms relevant to high-dimensional data analysis.

• Proven experience in analyzing large-scale omics datasets, with a strong focus on transcriptomics and ideally including spatial transcriptomics data.

• Hands-on experience with various spatial transcriptomics analysis tools and packages (e.g., Seurat, Scanpy, Squidpy, Giotto, CellProfiler, HALO).

• Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure) and high-performance computing environments is highly desirable.

• Strong data visualization skills with experience using relevant software packages (e.g., ggplot2, matplotlib, Seurat/Scanpy visualization tools).

• Excellent problem-solving, critical thinking, and analytical skills.

• Strong written and oral communication skills, with the ability to clearly explain complex technical concepts to diverse audiences.

• Ability to work independently and collaboratively within a multidisciplinary team.

Preferred Experience and Skills:

• Experience with image analysis techniques relevant to spatial transcriptomics.

• Knowledge of specific biological domains relevant to the immune mediated disease or oncology in our Company's Research Lab.

• Experience in developing and deploying bioinformatics pipelines.

• Familiarity with database management and data warehousing concepts.

• Experience with version control systems (e.g., Git).

• A strong publication record in peer-reviewed journals

#EligibleforERP

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As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics.As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

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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.

U.S. Hybrid Work Model

Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”.

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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.

Employee Status:

Regular

Relocation:

Domestic/International

VISA Sponsorship:

Yes

Travel Requirements:

10%

Flexible Work Arrangements:

Not Applicable

Shift:

1st - Day

Valid Driving License:

No

Hazardous Material(s):

No

Required Skills:

Agile Data Warehousing, Amazon Web Services (AWS), Bioinformatics, Computational Biology, Computer Science, Data Analysis, Database Management Systems (DBMS), Data Science, High Performance Computing (HPC), Machine Learning, Oncology, Oral Communications, Parasitology, Proteomics, Python (Programming Language), Researching, Scientific Modeling, Transcriptomics, Version Control, Warehousing Operations

Preferred Skills:

Job Posting End Date:

06/9/2025

*A job posting is effective until 11:59:59PM on the day BEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Requisition ID:R352028