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Spatial Transcriptomics Jobs in Malden, MA (NOW HIRING)

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Spatial Transcriptomics information

See Malden, MA salary details

$51.1K

$212.2K

$417.2K

How much do spatial transcriptomics jobs pay per year?

As of Jun 8, 2026, the average yearly pay for spatial transcriptomics in Malden, MA is $212,208.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $417,200.00 per year, depending on experience, location, and employer.

What is spatial transcriptomics?

Spatial transcriptomics is an advanced technique that allows scientists to measure gene expression within the spatial context of tissue samples. Unlike traditional RNA sequencing, which loses information about where each gene is expressed, spatial transcriptomics preserves the physical location of gene activity in tissues. This helps researchers better understand how cells function within their native environments and interact with neighboring cells, which is especially valuable in fields like cancer research, neuroscience, and developmental biology. The method combines microscopy, molecular biology, and computational analysis to produce detailed maps of gene expression.

What are some common challenges faced by professionals working in spatial transcriptomics, and how can they be addressed?

Professionals in spatial transcriptomics often encounter challenges related to handling large, complex datasets and integrating spatial information with gene expression data. Ensuring high-quality sample preparation and mastering advanced imaging or sequencing technologies are also frequent hurdles. These challenges can be addressed by collaborating closely with multidisciplinary teams—including bioinformaticians, molecular biologists, and imaging specialists—and staying up-to-date with the latest software tools and protocols. Continuous learning and effective communication within the team are key to overcoming technical and analytical obstacles in this rapidly evolving field.

What are the key skills and qualifications needed to thrive as a Spatial Transcriptomics Scientist, and why are they important?

To thrive as a Spatial Transcriptomics Scientist, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by an advanced degree in a life science field. Familiarity with spatial transcriptomics platforms (such as 10x Genomics Visium), next-generation sequencing (NGS) technologies, and data analysis tools like R or Python is essential. Strong problem-solving skills, attention to detail, and effective communication are important soft skills for collaborating on interdisciplinary research projects. These skills and qualities are crucial for generating high-quality spatial gene expression data and translating findings into meaningful biological insights.
What job categories do people searching Spatial Transcriptomics jobs in Malden, MA look for? The top searched job categories for Spatial Transcriptomics jobs in Malden, MA are:
What cities near Malden, MA are hiring for Spatial Transcriptomics jobs? Cities near Malden, MA with the most Spatial Transcriptomics job openings:

Principal Scientist II- Pathology Lab Manager

Novartis Pharmaceuticals Corporation

Cambridge, MA • On-site

$119K - $222K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 6 days ago


Job description

Band

Level 4


Job Description Summary

#LI-Onsite
Location: Cambridge
Internal Title: Principal Scientist II
Manages molecular histology laboratory supporting preclinical toxicological pathology objectives. Participates in and/or leads multidisciplinary teams together with scientists from other units in Novartis; may work with external partners. Leads a lab and/or a project or technology area, integrating independent experimental work to drive achievement of goals with increasing efficiency. Builds increasingly broad scientific/technical/development toolkit for self and team, or deepens own technical/scientific specialty and enables Division community in own areas of expertise.


Job Description

Key Responsibilities:

  • Serves as the scientific and operational lead for the molecular histology laboratory supporting investigative pathology in preclinical safety studies.

  • Provides handson scientific leadership and laboratory management while acting as a senior individual contributor and pathology subjectmatter expert.

  • Partners with pathologists an to clarify mechanisms of toxicity, target engagement, biodistribution, and tissuespecific risk.

  • Provides expert guidance on antibody selection, tissue acquisition, probe design, controls, amplification strategies, and assay limitations.

  • Manages daytoday molecular histology laboratory operations, including workflow planning, prioritization, and resource allocation.

  • Oversees method qualification, documentation, and data integrity, ensuring alignment with regulatory expectations.

  • Accountable for instrumentation, reagents, vendor interactions, and continuous improvement of laboratory capabilities.

  • Drives implementation of new technologies (e.g., spatial transcriptomics, digital image analysis) aligned with PCS strategy.

  • Provides direct and matrix leadership to scientists and associates within the molecular histology laboratory.

  • Coaches and mentors staff, building technical depth, scientific judgment, and experimental rigor.

  • Contributes to workforce planning, capability development, and succession planning within PCS pathology.

  • Generates innovative ideas within own team and/or project team/functional community to meet new technical requirements and/or answer project key scientific/technical/development questions.

  • Recognizes and leverages innovation opportunities for own team across projects and/or with focus on own area of deep expertise; plans and executes approaches to enable/operationalize strategic focus areas.

  • Leads or coleads technology, or early development projects or owns broad processes/technologies across multiple projects.

  • Influences and inspires own team and/or brings matrix collaborators together across the organization with eye for progressing teams towards decision points and deepening scientific understanding.

  • Identifies scientific/technical trends within own discipline that impact projects.

  • Actively mentors, trains, and supports career development for own directs and/or matrix direct reports and junior collaborators, especially in own area of deep expertise.

  • Develops and recommends objectives for lab unit, together with broader team.

  • Gives and accepts constructive feedback, especially to support performance and development of direct reports; speaks up and challenges the norm and guides team to share their work and ideas and/or influences a constructive culture within functional community.

  • Empowered to carry out novel research and/or technical activities within team, and/or matrix community surrounding field of expertise, which may involve devising new techniques to advance drug discovery, technology or early development projects.

  • May lead or co lead projects; influences and achieves results through own scientific and technical strengths and enables innovative contributions of direct reports and/or matrix team within key projects/initiatives/technology areas.

  • Reporting of technical complaints / adverse events / special case scenarios related to Novartis products within 24 hours of receipt

Essential Requirements:

  • BS Degree

  • 15 years or more experience with GLP, non-GLP, toxicology and digital pathology work-flows

  • People Leadership.

  • Project Management.

  • Collaborating across boundaries.

The salary for this position is expected to range between $119,700 and $222,300 per year.

The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.

Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.

US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.

To learn more about the culture, rewards and benefits we offer our people click here.


EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. We strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.


Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please send an e-mail to tas.nacomms@novartis.com call +1 (877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
https://www.novartis.com/careers/careers-research/notice-all-applicants-us-job-openings


Salary Range

$119,700.00 - $222,300.00


Skills Desired

Analytical Thinking, Bioinformatics, Clinical Data Management, Collaboration, Communication Skills, Critical Thinking, Data Analysis, Detail-Oriented, Ethics, Laboratory, Lifesciences, Management, Medical Research, Organization, Problem Solving Skills, Regulatory Compliance, Reports Writing, Team Management, Technical Skills, Time Management Skills, Toxicology, Training, Waterfall Model