62,314 Data jobs in the United States

Responsibilities

The USDS-Platform and Community Integrity (PaCI) team is missioned to: - Protect U.S. TikTok users, including and beyond content consumers, creators, advertisers; - Secure platform health and community experience authenticity; - Build infrastructures, platforms and technologies, as well as to collaborate with many cross-functional teams and stakeholders. The PaCI team works to minimize the damage of inauthentic behaviors on TikTok platforms, covering multiple classical and novel community and business risk areas such as

Responsibilities

The USDS-Platform and Community Integrity (PaCI) team is missioned to: - Protect U.S. TikTok users, including and beyond content consumers, creators, advertisers; - Secure platform health and community experience authenticity; - Build infrastructures, platforms and technologies, as well as to collaborate with many cross-functional teams and stakeholders. The PaCI team works to minimize the damage of inauthentic behaviors on TikTok platforms, covering multiple classical and novel community and business risk areas such as

Job DescriptionJob Description

SystImmune is a leading and well-funded clinical-stage biopharmaceutical company located in Redmond, WA and Princeton, NJ. It specializes in developing innovative cancer treatments using its established drug development platforms, focusing on bi-specific, multi-specific antibodies, and antibody-drug conjugates (ADCs). SystImmune has multiple assets in various stages of clinical trials for solid tumor and hematologic indications. Alongside ongoing clinical trials, SystImmune has a robust preclinical pipeline of potential cancer therapeutics in the discovery or IND-enabling stages, representing cutting-edge biologics development. We offer an opportunity for you to learn and grow while making significant contributions to the company’s success.
 

We are looking for a highly skilled Machine Learning Scientist with experience in data mining to analyze large datasets from public domain or company internal data. The ideal candidate will have a strong background in machine learning, data analysis, and programming skills. The primary objective of this role is to use AI, computational biology, and bioinformatics methods to classify and process R&D data, identifying potential opportunities for drug optimization and protein targets for immunotherapy. 
 

Responsibilities:

• Data Mining:  Apply data mining techniques to large datasets from clinical trials, using desensitized data to identify patterns, trends, and correlations.
• Machine Learning Model Development:  Design, develop, and train machine learning models to classify and process R&D data, identifying potential opportunities for drug optimization.
• Protein Target Identification:  Use AI, computational biology, and bioinformatics methods to identify protein targets of immunotherapy in cancers and other diseases.
• Data Analysis: Analyze and interpret results from data mining and machine learning models, providing insights and recommendations to cross-functional teams.
• Collaboration:  Work closely with researchers, clinicians, and other stakeholders to ensure that data analysis and machine learning models are aligned with business objectives and research goals.
• Communication:  Present findings and results to both technical and non-technical audiences, including written reports, presentations, and visualizations.

Requirements:

• Master's or Ph.D. in Computer Science, Machine Learning, Biostatistics, Bioinformatics, or a related field.

• 5+ years of experience in machine learning and data mining, with a strong focus on clinical trial data analysis and its application to drug development and target selection.

• Technical Skills:
  • Proficiency in programming such as Python, R, or SQL. 
  • Experience with machine learning frameworks such as TensorFlow, or PyTorch.
  • Familiarity with data visualization tools such as Tableau, Power BI, or D3.js.
• Domain Knowledge:  Strong understanding of clinical trial design, biostatistics, drug target, and immunotherapy principles.
• Communication Skills:  Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.

Nice to Have:

• Familiarity with containerization using Docker.
• Knowledge of data security and compliance regulations such as HIPAA.
• Experience with agile development methodologies and version control systems such as Git.

Company Culture:

At SystImmune, we value innovation, collaboration, and creativity. We believe in fostering a work environment that is supportive, inclusive, and stimulating. Our team members are passionate about their work and are committed to making a positive impact on the lives of patients. SystImmune is committed to creating a diverse and inclusive work environment. Our goal is to build a team that reflects the of our community and provides equal opportunities for everyone to succeed. If you share our values and are looking for a challenging and rewarding career opportunity, we encourage you to apply.

About Our Team:

Our team consists of experienced professionals from various backgrounds, including computer science, biostatistics, bioinformatics, and immunology. We work closely together to develop innovative solutions that can improve patient outcomes. If you are a motivated and talented individual who is passionate about machine learning and data analysis, we would love to hear from you.

What to Expect:

As a Machine Learning Scientist at SystImmune, you can expect to work on challenging projects that require the application of machine learning techniques to real-world problems. You will have the opportunity to collaborate with cross-functional teams, including researchers, clinicians, and data scientists. You will also have access to cutting-edge technologies and tools, as well as professional development opportunities to help you grow in your career.

Compensation and Benefits:
The expected base salary range for this position is $100,000 - $180,000 annually. Actual compensation will be based on a variety of factors, including but not limited to a candidate’s qualifications, experience, and skills.
While most offers typically fall within the low to mid-point of the range, we may extend an offer toward the higher end for exceptional candidates whose background and expertise align strongly with the requirements of the role.
 
SystImmune is a leading and well-funded biotech company with a bright future. We offer an opportunity for you to learn and grow while making significant contributions to the company’s success. SystImmune offers a comprehensive benefits package including: 100% paid employee premiums for medical/dental/vision, also STD, LTD, a 401(k) plan with a 50% company match of up to 3% and a vesting schedule of only 5 years, 15 PTO days per year, sick leave, plus 11 paid holidays and MORE.
 
We offer an opportunity for you to learn and grow while making significant contributions to the company’s success.
 
SystImmune is an Equal Opportunity Employer. We welcome diverse talent and encourage all qualified applicants to apply.
 

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SystImmune is a leading and well-funded clinical-stage biopharmaceutical company located in Redmond, WA and Princeton, NJ. It specializes in developing innovative cancer treatments using its established drug development platforms, focusing on bi-specific, multi-specific antibodies, and antibody-drug conjugates (ADCs). SystImmune has multiple assets in various stages of clinical trials for solid tumor and hematologic indications. Alongside ongoing clinical trials, SystImmune has a robust preclinical pipeline of potential cancer therapeutics in the discovery or IND-enabling stages, representing cutting-edge biologics development. We offer an opportunity for you to learn and grow while making significant contributions to the company's success.

We are looking for a highly skilled Machine Learning Scientist with experience in data mining to analyze large datasets from public domain or company internal data. The ideal candidate will have a strong background in machine learning, data analysis, and programming skills. The primary objective of this role is to use AI, computational biology, and bioinformatics methods to classify and process R&D data, identifying potential opportunities for drug optimization and protein targets for immunotherapy.

Responsibilities:

• Data Mining: Apply data mining techniques to large datasets from clinical trials, using desensitized data to identify patterns, trends, and correlations.
• Machine Learning Model Development: Design, develop, and train machine learning models to classify and process R&D data, identifying potential opportunities for drug optimization.
• Protein Target Identification: Use AI, computational biology, and bioinformatics methods to identify protein targets of immunotherapy in cancers and other diseases.
• Data Analysis: Analyze and interpret results from data mining and machine learning models, providing insights and recommendations to cross-functional teams.
• Collaboration: Work closely with researchers, clinicians, and other stakeholders to ensure that data analysis and machine learning models are aligned with business objectives and research goals.
• Communication: Present findings and results to both technical and non-technical audiences, including written reports, presentations, and visualizations.

• Master's or Ph.D. in Computer Science, Machine Learning, Biostatistics, Bioinformatics, or a related field.
• 5+ years of experience in machine learning and data mining, with a strong focus on clinical trial data analysis and its application to drug development and target selection.
• Technical Skills:
  • Proficiency in programming languages such as Python, R, or SQL.
  • Experience with machine learning frameworks such as TensorFlow, or PyTorch.
  • Familiarity with data visualization tools such as Tableau, Power BI, or D3.js.
• Domain Knowledge: Strong understanding of clinical trial design, biostatistics, drug target, and immunotherapy principles.
• Communication Skills: Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.

• Familiarity with containerization using Docker.
• Knowledge of data security and compliance regulations such as HIPAA.
• Experience with agile development methodologies and version control systems such as Git.

Responsibilities

The USDS-Platform and Community Integrity (PaCI) team is missioned to: - Protect U.S. TikTok users, including and beyond content consumers, creators, advertisers; - Secure platform health and community experience authenticity; - Build infrastructures, platforms and technologies, as well as to collaborate with many cross-functional teams and stakeholders. The PaCI team works to minimize the damage of inauthentic behaviors on TikTok platforms, covering multiple classical and novel community and business risk areas such as

Responsibilities

The USDS-Platform and Community Integrity (PaCI) team is missioned to: - Protect U.S. TikTok users, including and beyond content consumers, creators, advertisers; - Secure platform health and community experience authenticity; - Build infrastructures, platforms and technologies, as well as to collaborate with many cross-functional teams and stakeholders. The PaCI team works to minimize the damage of inauthentic behaviors on TikTok platforms, covering multiple classical and novel community and business risk areas such as

• Plan, develop, and carry out large-scale analyses with various genomics and proteomics datasets
• Integrate a wide array of human genetics, bioinformatics and biological knowledge in reproducible pipelines
• Contribute to complex and top-quality human genetics efforts with the goal of nominating new targets for therapeutic discovery
• Develop and apply machine learning models to genetic and multi-omic datasets to prioritize drug targets
• Integrate data to predict efficacy against diseases, additional indications, and safety for current and future targets
• Collaborate with the Analytical Genetics team in leading large-scale omics analysis projects
• Work with the TFA to catalyze the translation of genetic associations in new therapeutic insight
• Represent the TAG team in the external partnerships and collaborations relevant to the goals of the position
• Develop and maintain databases and custom applications to improve collaboration and efficacy of target discovery

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Responsibilities

The USDS-Platform and Community Integrity (PaCI) team is missioned to: - Protect U.S. TikTok users, including and beyond content consumers, creators, advertisers; - Secure platform health and community experience authenticity; - Build infrastructures, platforms and technologies, as well as to collaborate with many cross-functional teams and stakeholders. The PaCI team works to minimize the damage of inauthentic behaviors on TikTok platforms, covering multiple classical and novel community and business risk areas such as

We are looking for a talented Manager of Genomics and Health Data Minging for the design and implementation of analysis workflows to prioritize translational targets from human genetics and omics data resources within the GHDM team. The role will focus on the development of high-level target portfolio views of multi-omic evidence in a variety of therapeutic areas. Participation in other cross-team and cross-disciplinary efforts, with an emphasis on large scale genomics & proteomics datasets, phenome-wide approaches. Collaboration with other RGC teams (CMS TAG, Analytical Genetics, other TAGs) and TFAs.

In this role, a typical day might include the following:

• Plan, develop, and carry out large-scale analyses with various genomics and proteomics datasets

• Integrate a wide array of human genetics, bioinformatics and biological knowledge in reproducible pipelines

• Contribute to complex and top-quality human genetics efforts with the goal of nominating new targets for therapeutic discovery

• Develop and apply machine learning models to genetic and multi-omic datasets to prioritize drug targets

• Integrate data to predict efficacy against diseases, additional indications, and safety for current and future targets

• Collaborate with the Analytical Genetics team in leading large-scale omics analysis projects

• Work with the TFA to catalyze the translation of genetic associations in new therapeutic insight

• Represent the TAG team in the external partnerships and collaborations relevant to the goals of the position

• Develop and maintain databases and custom applications to improve collaboration and efficacy of target discovery

To be considered for this role , we require a PhD, MD or MD/PhD-trained scientist with deep knowledge of human genetics or genetic epidemiology and omics data resources. Preferred Candidate will have 3 years of post-PhD experience.

Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits, which often include (depending on location) health and wellness programs, fitness centers, equity awards, annual bonuses, and paid time off for eligible employees at all levels!

Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business.

For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions. For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location.

Please note that certain background checks will form part of the recruitment process. Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc.

Salary Range (annually)

$126,700.00 - $206,900.00