Remote Engineering Scientist Jobs
Remote Engineering Scientist jobs are available across the U.S. at remote-first firms and distributed research and development teams in sectors including aerospace, biotech, materials science, and energy. Employers hiring remotely right now include New York City Department of Health and Mental Hygiene and Astellas. Find a role that fits below and apply directly.
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See related jobsSenior Scientist, Antibody Engineering
About Astellas
Astellas is a global life sciences company committed to turning innovative science into VALUE for patients. We provide transformative therapies in disease areas that include oncology, ophthalmology, urology, immunology and women's health. Through our research and development programs, we are pioneering new healthcare solutions for diseases with high unmet medical need. Learn more at Astellas.com.
Are you driven to make a real difference in the lives of patients?
We're seeking passionate individuals who thrive in dynamic environments, embrace new ideas, and aren't afraid to take intelligent risks. People who act with unwavering integrity and are deeply committed to making a tangible impact.
Purpose & Scope
The primary focus of this Senior Scientist position is to lead de novo protein / antibody design capability in SSF Antibody Engineering team. The role is responsible for applying AI/ML approaches to optimize the Design-Make-Test-Analysis (DMTA) cycle for discovery-candidates (DC) / candidate nomination (CN), and to support cross-functional collaboration projects in Astellas. Successful candidate will be the interface between computational and experimental sciences with the goal to drive programs faster to the clinic.
Role and Responsibilities
- Develop and expand SSF Antibody Engineering Team capability in AI/ML-based de novo protein/antibody design and engineering
- Participate in relevant Program Teams, understand the biology behind programs for the designs of antibodies, bispecific antibodies, T-cell engagers (TCEs), antibody-drug conjugates (ADCs), engineered cytokines, and other biologic therapeutics etc.
- Apply computational and data-driven approaches, including Python programming, AI/ML tools, bioinformatics, and in silico protein engineering, to support therapeutic design, sequence analysis, data interpretation, and workflow automation
- Design constructs and assays including BLI, ELISA, cell-based binding/cytotoxicity assays and developability assessment to support molecule selection and optimization
- Integrate experimental data to improve AI/ML models and develop modality-specific AI/ML protein engineering platforms
- Support coordination with CROs and external partners for protein production, analytical characterization, assay execution, and data review
- Contribute to biologics data management system, ELN, technical reports, documentation, invention disclosures, patent applications, and external presentations when appropriate
- Proactively maintain Astellas network/communication of experts in biologics, small molecules, cell and gene therapy and digital / IT / AI drug discovery teams
Required Qualifications
- PhD with 5+ years related industry and/or post-doctoral experience in Biochemistry, Biophysics, Computational Biology and Structural Biology
- Proficiency in Python programming or related scripting tools for biological data analysis, data visualization, workflow automation, and/or integration of computational and experimental datasets.
- Experience with generative AI for protein design, machine learning model development, structural biology tools (PyMOL, Boltz, AlphaFold, Rosetta, etc.)
- Familiarity with cloud computing, database management, and data engineering pipelines.
- Familiarity with different antibody formats, antibody-drug assessment and validation process
- Good practice in data management / recording
- Strong work ethic and collaborative mindset, with demonstrated flexibility, adaptability, and willingness to support critical team priorities beyond primary project responsibilities
- Excellent written and verbal communication skills, with the ability to clearly articulate computational and experimental strategies, present complex data, and communicate recommendations to diverse audiences
Preferred Qualifications
- Hands-on experience in antibody/protein engineering and characterization
- Knowledge of antibody discovery, affinity maturation, and developability assessment for biologics drug development
- Experience with NGS-based protein engineering datasets
Location and Working Environment
- This position is based in SSF and will require on-site work.
- At Astellas we recognize the importance of work/life balance, and we are proud to offer a hybrid working solution allowing time to connect with colleagues at the office with the flexibility to also work from home. We believe this will optimize the most productive work environment for all employees to succeed and deliver. Hybrid work from certain locations may be permitted in accordance with Astellas’ Responsible Flexibility Guidelines.
What awaits you at Astellas?
- Global collaboration: Become part of a connected global business of like-minded life science leaders, all dedicated to improving patients' lives worldwide.
- Real-world patient impact: Contribute to transformative therapies that reach patients around the world, knowing your work makes a difference every day.
- Relentless Innovation: Join a company at the forefront of scientific breakthroughs, where you'll have the opportunity to shape the future of healthcare.
- A Culture of Growth: Chart your own course within a supportive environment that values your contributions, champions your development, and empowers you to pursue your passions.
Our Organizational Values and Behaviors
Values: Innovation, Integrity and Impact sit at the heart of what we do.
Behaviors: We come together as ‘One Astellas’ , working with courage and a sense of urgency . We are outcome focused and consistently take accountability for our personal contribution.
Salary Range
$119,000-$170,000 (Final compensation will be determined based on a variety of factors, including but not limited to skills, experience and organizational equity considerations.)
Benefits:
- Medical, Dental and Vision Insurance
- Generous Paid Time Off options, including Vacation and Sick time, plus national holidays including year-end shut down
- 401(k) match and annual company contribution
- Company paid life insurance
- Annual Corporate Bonus and Quarterly Sales Incentive for eligible positions
- Long Term Incentive Plan for eligible positions
- Company fleet vehicle for eligible positions
- Referral bonus program
#LI-TR1
Senior Scientist, Antibody Engineering
About Astellas
Astellas is a global life sciences company committed to turning innovative science into VALUE for patients. We provide transformative therapies in disease areas that include oncology, ophthalmology, urology, immunology and women's health. Through our research and development programs, we are pioneering new healthcare solutions for diseases with high unmet medical need. Learn more at Astellas.com.
Are you driven to make a real difference in the lives of patients?
We're seeking passionate individuals who thrive in dynamic environments, embrace new ideas, and aren't afraid to take intelligent risks. People who act with unwavering integrity and are deeply committed to making a tangible impact.
Purpose & Scope
The primary focus of this Senior Scientist position is to lead de novo protein / antibody design capability in SSF Antibody Engineering team. The role is responsible for applying AI/ML approaches to optimize the Design-Make-Test-Analysis (DMTA) cycle for discovery-candidates (DC) / candidate nomination (CN), and to support cross-functional collaboration projects in Astellas. Successful candidate will be the interface between computational and experimental sciences with the goal to drive programs faster to the clinic.
Role and Responsibilities
- Develop and expand SSF Antibody Engineering Team capability in AI/ML-based de novo protein/antibody design and engineering
- Participate in relevant Program Teams, understand the biology behind programs for the designs of antibodies, bispecific antibodies, T-cell engagers (TCEs), antibody-drug conjugates (ADCs), engineered cytokines, and other biologic therapeutics etc.
- Apply computational and data-driven approaches, including Python programming, AI/ML tools, bioinformatics, and in silico protein engineering, to support therapeutic design, sequence analysis, data interpretation, and workflow automation
- Design constructs and assays including BLI, ELISA, cell-based binding/cytotoxicity assays and developability assessment to support molecule selection and optimization
- Integrate experimental data to improve AI/ML models and develop modality-specific AI/ML protein engineering platforms
- Support coordination with CROs and external partners for protein production, analytical characterization, assay execution, and data review
- Contribute to biologics data management system, ELN, technical reports, documentation, invention disclosures, patent applications, and external presentations when appropriate
- Proactively maintain Astellas network/communication of experts in biologics, small molecules, cell and gene therapy and digital / IT / AI drug discovery teams
Required Qualifications
- PhD with 5+ years related industry and/or post-doctoral experience in Biochemistry, Biophysics, Computational Biology and Structural Biology
- Proficiency in Python programming or related scripting tools for biological data analysis, data visualization, workflow automation, and/or integration of computational and experimental datasets.
- Experience with generative AI for protein design, machine learning model development, structural biology tools (PyMOL, Boltz, AlphaFold, Rosetta, etc.)
- Familiarity with cloud computing, database management, and data engineering pipelines.
- Familiarity with different antibody formats, antibody-drug assessment and validation process
- Good practice in data management / recording
- Strong work ethic and collaborative mindset, with demonstrated flexibility, adaptability, and willingness to support critical team priorities beyond primary project responsibilities
- Excellent written and verbal communication skills, with the ability to clearly articulate computational and experimental strategies, present complex data, and communicate recommendations to diverse audiences
Preferred Qualifications
- Hands-on experience in antibody/protein engineering and characterization
- Knowledge of antibody discovery, affinity maturation, and developability assessment for biologics drug development
- Experience with NGS-based protein engineering datasets
Location and Working Environment
- This position is based in SSF and will require on-site work.
- At Astellas we recognize the importance of work/life balance, and we are proud to offer a hybrid working solution allowing time to connect with colleagues at the office with the flexibility to also work from home. We believe this will optimize the most productive work environment for all employees to succeed and deliver. Hybrid work from certain locations may be permitted in accordance with Astellas’ Responsible Flexibility Guidelines.
What awaits you at Astellas?
- Global collaboration: Become part of a connected global business of like-minded life science leaders, all dedicated to improving patients' lives worldwide.
- Real-world patient impact: Contribute to transformative therapies that reach patients around the world, knowing your work makes a difference every day.
- Relentless Innovation: Join a company at the forefront of scientific breakthroughs, where you'll have the opportunity to shape the future of healthcare.
- A Culture of Growth: Chart your own course within a supportive environment that values your contributions, champions your development, and empowers you to pursue your passions.
Our Organizational Values and Behaviors
Values: Innovation, Integrity and Impact sit at the heart of what we do.
Behaviors: We come together as ‘One Astellas’ , working with courage and a sense of urgency . We are outcome focused and consistently take accountability for our personal contribution.
Salary Range
$119,000-$170,000 (Final compensation will be determined based on a variety of factors, including but not limited to skills, experience and organizational equity considerations.)
Benefits:
- Medical, Dental and Vision Insurance
- Generous Paid Time Off options, including Vacation and Sick time, plus national holidays including year-end shut down
- 401(k) match and annual company contribution
- Company paid life insurance
- Annual Corporate Bonus and Quarterly Sales Incentive for eligible positions
- Long Term Incentive Plan for eligible positions
- Company fleet vehicle for eligible positions
- Referral bonus program
#LI-TR1
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Find JobsRemote Engineering Scientist Job Market
Who's Hiring
What Employers Look For
The qualifications that appear most often in remote engineering scientist jobs.
- Advanced degree in engineering or a physical science, typically at the master's or PhD level
- Hands-on experience designing and executing experimental test plans or simulations
- Proficiency in data analysis tools such as Python, MATLAB, or R for processing research results
- Familiarity with laboratory safety standards and quality management systems like ISO or GLP
- Ability to document findings in technical reports and present to cross-functional or executive audiences
- Experience with CAD software, finite element analysis, or other domain-specific modeling platforms
Tips for Your Remote Engineering Scientist Job Search
Apply early to remote roles that fit
Migrate Mate lists remote engineering scientist openings from across the U.S. in one place, so you can find roles that match your discipline and apply directly. Early applications on remote postings matter because distributed teams fill quickly once a listing goes live.
Show async documentation skills upfront
Remote engineering scientist teams depend on written technical communication. Include examples of research reports, design documentation, or engineering notebooks in your application materials to show you can transfer complex findings clearly without a whiteboard or in-person meeting.
Signal your remote work infrastructure
Distributed R&D teams want to know you can contribute from day one. Mention your home lab setup, your familiarity with collaboration tools like Confluence, Jira, or Miro, and your experience running experiments or simulations independently without on-site support.
Target remote-first science and engineering companies
Remote-first aerospace, materials science, and biotech firms build their entire R&D workflow around distributed contributors. Focusing your search on companies structured this way means remote engineering scientists aren't an exception but a standard part of the team, which translates to better tooling and clearer processes.
Remote Engineering Scientist Jobs: Frequently Asked Questions
How do I get a remote engineering scientist job?
Target companies with established distributed R&D teams, since they already have the infrastructure and culture to support remote technical contributors. Remote engineering scientist roles screen heavily for self-direction, clear written communication, and the ability to document experimental work and findings asynchronously. A portfolio of published research, patent filings, or documented project outcomes gives you a concrete edge over candidates who can only point to job titles.
Which companies hire remote engineering scientists?
Employers currently hiring remote engineering scientists include New York City Department of Health and Mental Hygiene and Astellas, per current remote listings on Migrate Mate as of November 2026. Remote-first technology companies, national laboratories with distributed programs, and large biotech and energy firms with geographically dispersed R&D teams are among the most consistent hirers of engineering scientists outside a central office.
Can you get a remote engineering scientist job with no experience?
Yes, but remote entry-level engineering scientist roles are harder to land because employers expect you to work independently from day one with minimal in-person mentoring. Companies that hire junior remote engineering scientists tend to look for independent research projects, graduate thesis work, open-source technical contributions, or internship deliverables that demonstrate you can produce and document technical work without close supervision.
Do you need a degree for remote engineering scientist jobs?
Usually, but the weight of the degree varies by sector. Most remote engineering scientist postings list a bachelor's or master's degree in a relevant engineering or applied science field as a baseline requirement. Remote employers often weigh demonstrated technical output, such as published papers, patents, or documented R&D outcomes, alongside formal credentials when evaluating candidates for distributed roles.
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Find roles that match your experience and apply in just a few clicks.
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