Algorithm Development, machine learning & deep learning for remote sensing, simulation, Monte Carlo uncertainty, validation vs ground truth, Bayesian estimation, error budget analysis * Space systems ...
Algorithm Development, machine learning & deep learning for remote sensing, simulation, Monte Carlo uncertainty, validation vs ground truth, Bayesian estimation, error budget analysis * Space systems ...
Algorithm Development, machine learning & deep learning for remote sensing, simulation, Monte Carlo uncertainty, validation vs ground truth, Bayesian estimation, error budget analysis * Space systems ...
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Algorithm Development, machine learning & deep learning for remote sensing, simulation, Monte Carlo uncertainty, validation vs ground truth, Bayesian estimation, error budget analysis * Space systems ...
New
Algorithm Development, machine learning & deep learning for remote sensing, simulation, Monte Carlo uncertainty, validation vs ground truth, Bayesian estimation, error budget analysis * Space systems ...
Algorithm Development, machine learning & deep learning for remote sensing, simulation, Monte Carlo uncertainty, validation vs ground truth, Bayesian estimation, error budget analysis * Space systems ...
Algorithm Development, machine learning & deep learning for remote sensing, simulation, Monte Carlo uncertainty, validation vs ground truth, Bayesian estimation, error budget analysis * Space systems ...
Algorithm Development, machine learning & deep learning for remote sensing, simulation, Monte Carlo uncertainty, validation vs ground truth, Bayesian estimation, error budget analysis * Space systems ...
Algorithm Development, machine learning & deep learning for remote sensing, simulation, Monte Carlo uncertainty, validation vs ground truth, Bayesian estimation, error budget analysis * Space systems ...
Algorithm Development, machine learning & deep learning for remote sensing, simulation, Monte Carlo uncertainty, validation vs ground truth, Bayesian estimation, error budget analysis * Space systems ...
Senior Data Scientist
Boston, MA · On-site +1
$140K - $190K/yr
Create and refine predictive models (Bayesian inference, regression analysis, time-series ... LI-Remote We value diversity and believe the unique contributions each of us brings drives our ...
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Senior Data Scientist
Boston, MA · On-site +1
$140K - $190K/yr
Create and refine predictive models (Bayesian inference, regression analysis, time-series ... LI-Remote We value diversity and believe the unique contributions each of us brings drives our ...
Principle Data Scientist
Boston, MA · Remote
About the job Principle Data Scientist Principal Data Scientist Position (REMOTE) About Us: Our ... Profound knowledge in quantitative methods such as causal inference, deep learning, and Bayesian ...
Principle Data Scientist
Boston, MA · Remote
About the job Principle Data Scientist Principal Data Scientist Position (REMOTE) About Us: Our ... Profound knowledge in quantitative methods such as causal inference, deep learning, and Bayesian ...
Director, Computational Biology
Boston, MA · On-site +1
We continue to invest time, money and energy into making our onsite, hybrid and remote work ... Bayesian modeling, network-based and mechanistic approaches, and modern deep learning - with hands ...
Director, Computational Biology
Boston, MA · On-site +1
We continue to invest time, money and energy into making our onsite, hybrid and remote work ... Bayesian modeling, network-based and mechanistic approaches, and modern deep learning - with hands ...
Senior Scientist, AI Applications - R&D Immunology Data Science & Digital Health
Cambridge, MA · On-site +1
Knowledge in sophisticated mathematics areas such as Bayesian inference, uncertainty quantification ... remote option available). Occasional travel for crossfunctional workshops, design sessions, and ...
Senior Scientist, AI Applications - R&D Immunology Data Science & Digital Health
Cambridge, MA · On-site +1
Knowledge in sophisticated mathematics areas such as Bayesian inference, uncertainty quantification ... remote option available). Occasional travel for crossfunctional workshops, design sessions, and ...
Senior Scientist, AI Applications - R&D Immunology Data Science & Digital Health
Cambridge, MA · On-site +1
Knowledge in sophisticated mathematics areas such as Bayesian inference, uncertainty quantification ... remote option available). Occasional travel for crossfunctional workshops, design sessions, and ...
Senior Scientist, AI Applications - R&D Immunology Data Science & Digital Health
Cambridge, MA · On-site +1
Knowledge in sophisticated mathematics areas such as Bayesian inference, uncertainty quantification ... remote option available). Occasional travel for crossfunctional workshops, design sessions, and ...
Remote Bayesian information
What are the key skills and qualifications needed to thrive as a Remote Bayesian, and why are they important?
How do Remote Bayesian professionals typically collaborate with cross-functional teams given the virtual nature of their work?
What is a Remote Bayesian?
What is the difference between Remote Bayesian vs Remote Data Scientist?
| Aspect | Remote Bayesian | Remote Data Scientist |
|---|---|---|
| Required Credentials | Background in statistics, Bayesian methods, programming (Python/R) | Statistics, computer science, or related degree; programming skills |
| Work Environment | Research-focused, analytical tasks, often in tech or finance | Data analysis, modeling, business insights across industries |
| Industry Usage | Research institutions, AI, machine learning, finance | Tech companies, consulting, finance, healthcare |
Remote Bayesian specialists focus on Bayesian statistical methods and probabilistic modeling, often in research or AI contexts. Remote Data Scientists have broader roles in data analysis and modeling across various industries. While both roles require strong analytical skills and programming, Remote Bayesian roles emphasize Bayesian techniques, whereas Remote Data Scientist roles encompass a wider range of data analysis tasks.
Other
Medical, Dental, Vision, Retirement, PTO
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Technical Staff - Remote Sensing Scientist
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Date: May 18, 2026
Location:
Lexington, MA, US
Company:
MIT Lincoln Laboratory
The Applied Space Systems Group develops environmental monitoring electro-optical and microwave sensor systems for remote sensing applications. The group supports partners in US Government organizations as well as industry. Activities include development of electro-optical and microwave sensors; system and architecture analysis; signal processing, data analysis and algorithm development. The group seeks physicists, astronomers, applied mathematicians, electrical engineers, computer engineers, and those with related experience who have interest in developing cutting edge space remote sensing technologies for future missions.
Job DescriptionGroup 97, The Applied Space Systems Group, seeks a remote sensing scientist to join our team, focused on supporting the application of advanced electro-optical sensor systems. The successful candidate will be part of a team with imaging and data scientists as well as hardware and software engineers to prototype, operate and analyze the performance of highly integrated sensor systems for terrestrial and space applications.
Requirements
- PhD in Physics, Optical or Aerospace Engineering or related field. In lieu of PhD, MS with 5 or more years of related experience is acceptable.
- Significant professional or academic experience in at least two of the following areas, and some familiarity and career interest in several others:
- Satellite remote sensing
- Radiative transfer modeling
- Optical sensor characterization, data calibration, error budgets, uncertainty modeling
- Algorithm Development, machine learning & deep learning for remote sensing, simulation, Monte Carlo uncertainty, validation vs ground truth, Bayesian estimation, error budget analysis
- Space systems: vehicle design, space environment design and analysis
- Test design, procedure development, and execution
- Hardware assembly: clean room and ESD / test environment experience
- Automated analysis and reporting: tools, custom analysis applications with user interfaces
- Demonstrable ability to
- Develop respectful, productive working relationships
- Communicate clearly, precisely, and concisely to technical and non-technical audiences
- Solve broad and/or complex technical or engineering problems
- Learn and apply advanced technical knowledge quickly and proficiently
- Analytical and/or scientific programming proficiency (e.g. MATLAB, Python, C/C++, or similar), including high performance computing workflow development
- Active Secret Security Clearance highly desired
Recent Graduate Hiring Range:$145,200-$170,000
Experienced Hiring Range: $145,200-$220,000
Disclaimer:MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including-but not limited to-the scope and responsibilities of the role, the candidate's experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.
At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include:
- Comprehensive health, dental, and vision plans
- MIT-funded pension
- Matching 401K
- Paid leave (including vacation, sick, parental, military, etc.)
- Tuition reimbursement and continuing education programs
- Mentorship programs
- A range of work-life balance options
- ... and much more!
Please visit our Benefits pagefor more information. As an employee of MIT, you can also take advantage ofother voluntary benefits, discounts and perks.
Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.
MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.
Requisition ID:42748
Nearest Major Market: Boston
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