4,397 Bioinformaticians jobs in the United States

Job Description

We are looking for an advanced physicist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.

In this role you will need to hold an expert understanding of physics- a completed or in progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Astrophysics, Biophysics, Electrical Engineering, Nuclear Engineering, Chemical Engineering, Mathematics.

Benefits:

• This is a full-time or part-time REMOTE position
• You’ll be able to choose which projects you want to work on
• You can work on your own schedule
• Projects are paid hourly starting at $40+ per hour, with bonuses on high-quality and high-volume work

Responsibilities:

• Give AI chatbots diverse and complex physics problems and evaluate their outputs
• Evaluate the quality produced by AI models for correctness and performance

Qualifications:

• Fluency in English (native or bilingual level)
• Detail-oriented
• Proficient in mathematics, inductive/deductive reasoning, physical/temporal/ spatial reasoning
• A current, in progress, or completed Masters and/or PhD is preferred but not required

Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, UK, Canada, Australia, or New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.

Job Description

We are looking for an advanced physicist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.

In this role you will need to hold an expert understanding of physics- a completed or in progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Astrophysics, Biophysics, Electrical Engineering, Nuclear Engineering, Chemical Engineering, Mathematics.

Benefits:

• This is a full-time or part-time REMOTE position
• You’ll be able to choose which projects you want to work on
• You can work on your own schedule
• Projects are paid hourly starting at $40+ per hour, with bonuses on high-quality and high-volume work

Responsibilities:

• Give AI chatbots diverse and complex physics problems and evaluate their outputs
• Evaluate the quality produced by AI models for correctness and performance

Qualifications:

• Fluency in English (native or bilingual level)
• Detail-oriented
• Proficient in mathematics, inductive/deductive reasoning, physical/temporal/ spatial reasoning
• A current, in progress, or completed Masters and/or PhD is preferred but not required

Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, UK, Canada, Australia, or New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.

Job Description

We are looking for an advanced physicist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.

In this role you will need to hold an expert understanding of physics- a completed or in progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Astrophysics, Biophysics, Electrical Engineering, Nuclear Engineering, Chemical Engineering, Mathematics.

Benefits:

• This is a full-time or part-time REMOTE position
• You’ll be able to choose which projects you want to work on
• You can work on your own schedule
• Projects are paid hourly starting at $40+ per hour, with bonuses on high-quality and high-volume work

Responsibilities:

• Give AI chatbots diverse and complex physics problems and evaluate their outputs
• Evaluate the quality produced by AI models for correctness and performance

Qualifications:

• Fluency in English (native or bilingual level)
• Detail-oriented
• Proficient in mathematics, inductive/deductive reasoning, physical/temporal/ spatial reasoning
• A current, in progress, or completed Masters and/or PhD is preferred but not required

Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, UK, Canada, Australia, or New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.

Job Description

We are looking for an advanced physicist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.

In this role you will need to hold an expert understanding of physics- a completed or in progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Astrophysics, Biophysics, Electrical Engineering, Nuclear Engineering, Chemical Engineering, Mathematics.

Benefits:

• This is a full-time or part-time REMOTE position
• You’ll be able to choose which projects you want to work on
• You can work on your own schedule
• Projects are paid hourly starting at $40+ per hour, with bonuses on high-quality and high-volume work

Responsibilities:

• Give AI chatbots diverse and complex physics problems and evaluate their outputs
• Evaluate the quality produced by AI models for correctness and performance

Qualifications:

• Fluency in English (native or bilingual level)
• Detail-oriented
• Proficient in mathematics, inductive/deductive reasoning, physical/temporal/ spatial reasoning
• A current, in progress, or completed Masters and/or PhD is preferred but not required

Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, UK, Canada, Australia, or New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.

Job Description

We are looking for an advanced physicist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.

In this role you will need to hold an expert understanding of physics- a completed or in progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Astrophysics, Biophysics, Electrical Engineering, Nuclear Engineering, Chemical Engineering, Mathematics.

Benefits:

• This is a full-time or part-time REMOTE position
• You’ll be able to choose which projects you want to work on
• You can work on your own schedule
• Projects are paid hourly starting at $40+ per hour, with bonuses on high-quality and high-volume work

Responsibilities:

• Give AI chatbots diverse and complex physics problems and evaluate their outputs
• Evaluate the quality produced by AI models for correctness and performance

Qualifications:

• Fluency in English (native or bilingual level)
• Detail-oriented
• Proficient in mathematics, inductive/deductive reasoning, physical/temporal/ spatial reasoning
• A current, in progress, or completed Masters and/or PhD is preferred but not required

Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, UK, Canada, Australia, or New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.

**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Perform research and develop solutions to computer software and computer hardware problems.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system engineering standpoint.
9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
11. Telecommute from anywhere in the U.S.
12. permitted.
**Minimum Qualifications:**
Minimum Qualifications:
13. Requires a Doctorate degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field
14. Position also requires completion of a university-level course, research project, internship, or thesis in the following:
15. 1. Algorithms, data structures, or systems software
16. 2. Solving analytical problems using quantitative approaches
17. 3. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
18. 4. Communicating complex research in a clear, precise, and actionable manner
19. 5. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
20. 6. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
21. 7. Devising better data-driven models of human behavior
22. 8. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
23. and 9. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$232,652/year to $290,180/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Perform research and develop solutions to computer software and computer hardware problems.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system engineering standpoint.
9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
**Minimum Qualifications:**
Minimum Qualifications:
11. Master's degree in Computer Science, Engineering, Analytics, Mathematics or a related field. Foreign degree equivalent accepted
12. Requires 3 months experience in job offered or in a related occupation
13. Experience must include 3 months involving the following:
14. 1. Algorithms, data structures, or systems software
15. 2. Research in machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
16. 3. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
17. 4. Devising data-driven models of human behavior
18. 5. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU
19. 6. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
**Public Compensation:**
$226,929/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Perform research and develop solutions to computer software and computer hardware problems.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system engineering standpoint.
9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
**Minimum Qualifications:**
Minimum Qualifications:
11. Requires a Ph.D degree (or foreign equivalent) in Computer Science, Electrical Engineering, Computer Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field.
12. Requires completion of a university-level course, research project, internship, or thesis in the following:
13. 1. Algorithms, data structures, or systems software
14. 2. Solving analytical problems using quantitative approaches
15. 3. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
16. 4. Communicating complex research in a clear, precise, and actionable manner
17. 5. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
18. 6. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
19. 7. Devising better data-driven models of human behavior
20. 8. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU
21. 9. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
22. 10. Java, C++, Perl, PHP, or Python.
**Public Compensation:**
$221,024/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Work closely with a Product Engineering team to identify and answer important product questions using scientific techniques and research methods.
2. Develop novel quantitative methods on top of Meta's unparalleled data infrastructure.
3. Answer product questions and generate insights by using appropriate machine learning, statistical techniques or other relevant scientific modeling approaches on available data.
4. Draft software from scratch to implement novel methods.
5. Build cross-functional partnerships throughout Meta.
6. Communicate best practices in quantitative analysis to partners.
7. Work both independently and collaboratively with other Scientists, Engineers, Designers, UX Researchers, and Product Managers to accomplish complex tasks that deliver demonstrable value to Meta's community of users.
8. Drive the collection of new data and the refinement of existing data sources.
9. Identify new opportunities within Meta's long-term roadmap for scientific contributions.
**Minimum Qualifications:**
Minimum Qualifications:
10. Bachelor's degree (or foreign degree equivalent) in Computer Science, Computer Engineering, Data Science or related field
11. Requires completion of an undergraduate-level course, research project, or internship involving the following:
12. 1. Solving analytical problems using quantitative approaches including statistical analysis, hypothesis testing, supervised and unsupervised modeling
13. 2. Manipulating and analyzing data from varying sources using programming languages such as Python, data manipulation tools like Pandas and NumPy, database querying languages such as SQL, and visualization tools such as Matplotlib
14. 3. Communicating quantitative analysis including presentation of complex statistical concepts and results, writing of clear and actionable reports and dashboards, and visualization of data insights
15. 4. Leveraging probabilistic concepts such as statistical distributions, hypothesis testing, expectations, and estimators
16. 5. Familiarity with efficient data structures such as arrays, lists, trees, graphs, and maps
17. 6. Experience leveraging advanced ML techniques such as Bayesian modeling, reinforcement learning, bandits, and causal inference
18. 7. Applying methods for sequential decision-making under uncertainty, including Markov Decision Processes (MDPs) and Reinforcement Learning (RL)
19. 8. Optimizing the architecture and training parameters of Neural Network (NN) models
**Public Compensation:**
$185,644/year to $200,200/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at