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Remote Postdoctoral Ultrafast Spectroscopy Jobs in Boston, MA

Remote Postdoctoral Ultrafast Spectroscopy information

See Boston, MA salary details

$27.2K

$64.1K

$90.7K

How much do remote postdoctoral ultrafast spectroscopy jobs pay per year?

As of Aug 28, 2026, the average yearly pay for remote postdoctoral ultrafast spectroscopy in Boston, MA is $64,121.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,200.00 and $72,200.00 per year, depending on experience, location, and employer.

What is a remote postdoctoral ultrafast spectroscopy position?

A Remote Postdoctoral Ultrafast Spectroscopy position is a research role for individuals who have recently completed their PhD and focus on studying ultrafast processes in materials or molecules using advanced laser-based spectroscopic techniques. The 'remote' aspect means much of the research, data analysis, collaboration, and possibly some experimental work can be carried out from a location outside the traditional laboratory setting, often leveraging remote access to instrumentation or computational resources. This position typically combines independent research, collaboration with scientific teams, and the publication of findings in scientific journals. It is well-suited for researchers interested in fundamental or applied aspects of ultrafast science, including physics, chemistry, or materials science.

What are the key skills and qualifications needed to thrive as a remote postdoctoral ultrafast spectroscopy researcher?

To excel in a Remote Postdoctoral Ultrafast Spectroscopy role, you need a Ph.D. in physics, chemistry, or a related field, with deep expertise in ultrafast laser techniques and spectroscopic analysis. Familiarity with data acquisition systems, programming languages such as Python or MATLAB, and specialized laboratory software is typically required. Strong problem-solving abilities, self-motivation, and effective communication are essential soft skills for remote collaboration and independent research. These competencies ensure high-quality experimental design, data analysis, and productive teamwork in a remote research environment.

What are some typical challenges faced by remote postdoctoral researchers in ultrafast spectroscopy, and how can they be effectively managed?

Remote postdoctoral researchers in ultrafast spectroscopy often face challenges related to limited hands-on access to specialized laboratory equipment and real-time collaboration with on-site team members. To manage these challenges, many labs use remote-control instrumentation, detailed data sharing protocols, and regular virtual meetings to maintain effective communication and project progress. Establishing clear expectations with supervisors and leveraging digital tools for data analysis and simulation can also help bridge the gap. Proactively seeking feedback and maintaining strong documentation are key to staying aligned with the team and achieving research milestones.

What is the difference between Remote Postdoctoral Ultrafast Spectroscopy vs Remote Postdoctoral Spectroscopy?

AspectRemote Postdoctoral Ultrafast SpectroscopyRemote Postdoctoral Spectroscopy
Required CredentialsPhD in Physics, Chemistry, or related field; specialized training in ultrafast spectroscopyPhD in Physics, Chemistry, or related field; general spectroscopy knowledge
Work EnvironmentResearch labs, universities, or industry R&D with focus on ultrafast techniquesResearch labs, universities, or industry R&D in spectroscopy broadly
Employer & Industry UsageAcademic research, advanced scientific industries, specialized R&D centersAcademic institutions, scientific companies, general R&D sectors

Remote Postdoctoral Ultrafast Spectroscopy focuses on advanced ultrafast laser techniques to study rapid phenomena, requiring specialized training. Remote Postdoctoral Spectroscopy covers broader spectroscopy research without the ultrafast specialization. Both roles involve research in scientific environments but differ in technical focus and expertise level.

What are the most commonly searched types of Postdoctoral Ultrafast Spectroscopy jobs in Boston, MA?

The most popular types of Postdoctoral Ultrafast Spectroscopy jobs in Boston, MA are:

What are popular job titles related to Remote Postdoctoral Ultrafast Spectroscopy jobs in Boston, MA?

For Remote Postdoctoral Ultrafast Spectroscopy jobs in Boston, MA, the most frequently searched job titles are:

Infographic showing various Remote Postdoctoral Ultrafast Spectroscopy job openings in Boston, MA as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $64,121 per year, or $30.8 per hour.

Postdoctoral Scientist - Multimodal Representation Learning for Predictive Biology

Jj

Cambridge, MA โ€ข On-site, Remote

$64K - $65K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Career Programs

Job Sub Function:

Post Doc - Data Analytics & Computational Sciences

Job Category:

Career Program

All Job Posting Locations:

Beerse, Antwerp, Belgium, Cambridge, Massachusetts, United States of America, Madrid, Spain, Spring House, Pennsylvania, United States of America

Job Description:

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more athttps://www.jnj.com/innovative-medicine

Johnson & Johnson Innovative Medicine is recruiting for a Postdoctoral Scientist - Multimodal Representation Learning for Predictive Biology to join the Data, Data Science & Artificial Intelligence (DDSAI) organization for a two-year fixed term position, helping advance AI/ML analytics and multimodal modeling for drug discovery. This position will be based at any of the following locations: Cambridge, MA (preferred); Spring House, PA; Beerse, Belgium; or Madrid, Spain. (No fully remote option.)

Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s):

USA - Requisition Number: R-094412

Belgium - Requisition Number: R-095646

Spain - Requisition Number: R-095648

Within DDSAI, our teams develop innovative solutions using a variety of data sources across multiple therapeutic areas. We are looking for a highly motivated and innovative Postdoctoral Scientist to work at the intersection of advanced AI/ML modeling at scale, multimodal representation learning, drug discovery and predictive biology. The successful candidate is self-motivated, creative, and an effective communicator, with a strong interest in deep learning for imaging microscopy and multi-omics. The role focuses on developing advanced models that analyze and quantify the heterogeneity of perturbed cellular systems and integrate multi-scale biological data (e.g., high-content imaging, phenomics, transcriptomics, and proteomics) to derive new biological insights that support the next-generation portfolio for drug discovery. A successful candidate should demonstrate a strong capacity to build, evaluate, and benchmark AI/ML methods, and publish findings in top-tier peer-reviewed publications.

Key Responsibilities

  • Conceive, design, develop, implement and validate innovative AI/ML solutions for drug discovery problems using multimodal data of perturbed cells.
  • Analyze and extract novel biological insights from large-scale, heterogeneous high-dimensional data (e.g., imaging microscopy, phenomics, transcriptomics, proteomics).
  • Develop and evaluate innovative computer vision solutions to quantify heterogeneity of perturbed cells.
  • Collaborate closely with both internal and external cross-functional teams of scientists and engineers to advance algorithms and product development to improve project outcomes.
  • Clearly communicate complex technical methodologies and present findings to diverse audiences and stakeholders to support informed decision-making.
  • Follow standard processes for documentation and maintaining an up-to-date code repository.
  • Draft manuscripts and disseminate research findings internally and externally (e.g., publishing in peer-reviewed conferences/journals).

Qualifications

  • Ph.D.* in Electrical Engineering, Biomedical Engineering, Computer Science, Applied Mathematics, or a related major. (*PhD completed within the last 3 years or to be completed within the next 6 months.)
  • Strong technical expertise in AI/ML for biological applications, with excellent analytical skills in at least one domain area (representation learning, multimodal integration, computational biology, imaging microscopy) and a proven track record (publications in top-tier AI/ML conferences or journals).
  • Experience developing foundation models and/or multimodal modeling of biological data in related applications, such as Cell Painting, imaging microscopy, and multi-omics.
  • Solid working knowledge of deep-learning architectures and techniques (e.g., Transformers, CNNs, graph networks, self-supervised and multi-instance learning, etc.) and their application to multimodal representation learning, alignment, and fusion.
  • Proficiency with one or more programming languages, preferably Python, and proficiency in one or more AI frameworks such as PyTorch or TensorFlow.
  • Strong communication skills, with the ability to present analytical results on behalf of the project team in a multi-functional setting, contextualizing how the work fits within the broader project.
  • This position will be based at any of the following locations: Cambridge, MA (preferred); Spring House, PA; Beerse, Belgium; or Madrid, Spain. (No fully remote option.)

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

If you are under 18 years of age, you (the candidate) may need to obtain the necessary working papers or other documentation required by state law to start the assignment, as well as get a parent's consent for the background check.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.

The anticipated base pay range for this position is $92,000 to $111,000. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.

Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).

Employees are eligible for the following time off benefits:

Vacation - up to 120 hours per calendar year

Sick time - up to 40 hours per calendar year

Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year

Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.

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Required Skills:

Preferred Skills: