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Remote Machine Learning Postdoc Jobs in New York

Moody's Analytics

MLOps Engineer

New York, NY · On-site +1

We have a flexible work environment and allow remote work depending on one's personal choice. Responsibilities: As the Machine Learning Ops Engineer for the AI Team you will: * Work closely with the ...

Mercor

ML Engineer - Coding Agent Expert

New York, NY · Remote

$85/hr

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks. * Review model-generated implementations involving model ...

C the Signs

AI Data Engineer

New York, NY · Remote

$117K - $140K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

AI Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Cigna

Data Science Director - Remote

New York, NY · On-site +1

Provide technical leadership across machine learning, statistical modeling, feature engineering, model evaluation, calibration, explainability, and production-ready analytics. * Drive execution ...

Moody's Analytics

Senior DevOps Engineer (Remote)

New York, NY · Remote

$142K - $182K/yr

Deployment and productionisation or machine learning model applications in production. * Design and develop reusable Terraform and Ansible modules. * Lead the team in various aspects around stability ...

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All JobsMachine Learning Postdoc JobsRemote Machine Learning Postdoc JobsRemote Machine Learning Postdoc Jobs in New York

Remote Machine Learning Postdoc information

Is ML a high paying job?

Machine learning postdoctoral positions are generally well-paid compared to many academic roles, with salaries often ranging from $60,000 to over $100,000 annually depending on experience, location, and funding. These roles typically require strong programming skills in Python or R and knowledge of algorithms and data analysis, which can contribute to higher compensation levels.

Is a PhD in ML worth it?

A PhD in machine learning can enhance qualifications for a remote machine learning postdoc position, often leading to higher-level research opportunities and increased earning potential. However, it requires significant time investment and may not be necessary for industry roles that value practical skills and experience with tools like Python and TensorFlow. The decision depends on career goals and the specific requirements of the desired position.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Postdoc, and why are they important?

A Remote Machine Learning Postdoc requires a PhD in computer science, statistics, or a related field, with expertise in machine learning algorithms, statistical modeling, and research methodologies. Proficiency in programming languages like Python or R, experience with machine learning frameworks such as TensorFlow or PyTorch, and familiarity with version control systems (e.g., Git) are typically necessary. Strong written and verbal communication, self-motivation, and collaboration skills are vital for remote research and effective teamwork. These capabilities enable impactful independent research, smooth collaboration across distributed teams, and the successful dissemination of findings to the wider scientific community.

Is a postdoc harder than a PhD?

A remote machine learning postdoc typically involves more specialized research, higher expectations for independence, and often requires advanced skills in programming and data analysis. While a PhD focuses on completing a dissertation and gaining foundational expertise, a postdoc emphasizes producing publishable research and may involve longer hours and greater responsibility, making it generally more demanding in terms of research output and expertise. However, the difficulty varies based on individual experience and research environment.

What is a Remote Machine Learning Postdoc?

A Remote Machine Learning Postdoc is a postdoctoral researcher specializing in machine learning who works predominantly or entirely from a location outside their host institution, often from home. Their work involves conducting advanced research, developing new algorithms, analyzing data, and publishing findings related to machine learning while collaborating virtually with faculty and research teams. This role is ideal for researchers seeking flexibility or those who cannot relocate but wish to contribute to academic or industrial research from a distance.

Do you need H-1B for postdoc?

A remote machine learning postdoctoral position typically does not require H-1B sponsorship if the candidate is already authorized to work in the country, such as through a visa or citizenship. However, international candidates may need H-1B or other work visas depending on the employer and local immigration laws. Employers often sponsor visas for postdocs to comply with legal requirements and facilitate employment.

What are some common challenges faced by remote machine learning postdocs when collaborating with research teams?

Remote machine learning postdocs often encounter challenges related to communication and coordination, especially when working across different time zones or with teams that have varying schedules. Effective collaboration usually requires proactive communication through virtual meetings, shared code repositories, and regular progress updates. Building rapport with colleagues and staying engaged with ongoing research discussions can take extra effort remotely, but leveraging collaborative tools and participating in virtual seminars or group chats can help bridge the gap. Being organized and self-motivated is key to ensuring productive contributions to the team’s research objectives.
What are the most commonly searched types of Machine Learning Postdoc jobs in New York? The most popular types of Machine Learning Postdoc jobs in New York are:
What are popular job titles related to Remote Machine Learning Postdoc jobs in New York? For Remote Machine Learning Postdoc jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Postdoc jobs in New York look for? The top searched job categories for Remote Machine Learning Postdoc jobs in New York are:
What cities in New York are hiring for Remote Machine Learning Postdoc jobs? Cities in New York with the most Remote Machine Learning Postdoc job openings:
Remote Machine Learning Postdoc jobs near you
Infographic showing various Remote Machine Learning Postdoc job openings in New York as of July 2026, with employment types broken down into 71% Full Time, 8% Part Time, and 21% Contract. Highlights an 100% Remote job distribution.
Senior Computational Biologist, External Collaborations

Senior Computational Biologist, External Collaborations

Immunai

Manhattan, NY • On-site, Remote

$150K - $160K/yr

Full-time

Posted 6 days ago

Job description

Description
About Immunai:
Immunai is an AI-driven platform company focused on improving drug discovery and development by decoding the human immune system.
We combine large-scale single cell immune data, advanced machine learning, and strong engineering to help pharmaceutical and research partners make better, more informed decisions throughout the drug development process.
Our long-term goal is to reduce drug development failure rates and help more effective medicines reach patients. We're building this platform thoughtfully and collaboratively, bringing together expertise across biology, AI, engineering, and business.
Immunai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
About the role:
As a Senior Computational Biologist at Immunai, you will be working in a fast-paced and research-driven external collaborations team to lead projects with our pharma, biotech, and academic partners. Through this position, you will have the opportunity to work with biologists, immunologists, computational biologists, machine learning specialists, and the business development team to design, execute, and disseminate data analyses leveraging single cell multi-omics for immuno-oncology and autoimmune disease research applications.
Watch the video to learn more about Immunai's culture, and how the External Collaborations team is driving the next generation of oncology and immunology discoveries.
Location: New York City, NY (Hybrid model)
What will you do?
  • Drive novel research by leading computational biology efforts for industry and academic partnership projects in immuno-oncology and autoimmune diseases
  • Liaise with external and internal stakeholders to define research objectives and analysis plans
  • Execute rigorous and reproducible data analysis using state of the art methods
  • Maintain close collaboration with a highly multidisciplinary internal team throughout the life cycle of each project to ensure successful delivery
  • Clearly communicate findings to external stakeholders in the form of presentations and data reports
  • Devise and implement new approaches to push the boundaries of Immunai's capabilities, including through the effective utilization of LLM-based tools
  • Champion Immunai core values

Requirements
Required qualifications:
  • Experience in multi-omic data analysis including bulk and single-cell transcriptomics (8-10 yrs relevant experience; MSc w/ 6+ yrs experience or PhD w/ 2+ years postdoctoral experience)
  • Expertise in current bioinformatics and computational biology tools, methods, and applications; Strong ability to develop and test data analysis code (R or Python's pandas)
  • Background and experience with machine learning methodologies and continued interest in learning and applying ML approaches
  • Expertise in distilling multi-faceted analyses into concrete conclusions with effective data visualizations and presentations
  • Experience leading large scale initiatives and projects demonstrated through first author peer-reviewed publications in relevant subject areas and/or project lead roles in industry positions
  • Keen interest in biology and immunology with demonstrated research experience in immuno-oncology and/or autoimmune diseases; experience in CAR-T biology is a plus.
  • Excellent verbal and written communication skills to represent Immunai to external collaborators as well as operate effectively on a diverse and collaborative internal team

Desired personal traits:
  • You want to make an impact on humankind
  • You prioritize "We" over "I"
  • You enjoy getting things done and striving for excellence
  • You collaborate effectively with people of diverse backgrounds and cultures
  • You have a growth mindset
  • You are candid, authentic, and transparent

Compensation: This position offers a base salary typically between $150,000 and $160,000. There is an opportunity to consider higher compensation above this range based on business need, candidate experience, and or skills.
*Please note that when you apply for a position at Immunai, your application will be processed via our recruitment platform Comeet. You can read more about how we process personal data here: https://www.immunai.com/privacy-policy/

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