Vanderbilt University is an independent, private university renowned worldwide for its research. Founded in 1873 with a generous $1 million gift from Commodore
VTS Research Scientist
Location
United States
Posted
54 days ago
Salary
0
Seniority
Mid Level
No structured requirement data.
Job Description
VTS Research Scientist
Vanderbilt University
Role Description Seeking a part time research scientist with expertise in data sharing, data deidentification, and integrative data analysis. Duties include: - Data analysis - Data harmonization - Dissemination activities Qualifications - PhD in special education, child development, quantitative methods, or related field - Experience with data sharing, de-identification, and integrative data analyses Requirements - Expertise in data sharing - Expertise in data deidentification - Expertise in integrative data analysis Benefits - Opportunity to work in service to an important and noble mission - Professional growth and learning opportunities - Recognition as one of “America’s Best Large Employers”
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2026 ML Scientist Summer Internship
CleerlyCleerly, founded in 2016, is a digital healthcare company specializing in AI-powered diagnostic solutions to transform cardiovascular care. Leveraging coronary computed tomography
About Cleerly We’re Cleerly – a healthcare company that’s revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world’s leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly’s solutions are supported by more than a decade of performing some of the world’s largest clinical trials to identify important findings beyond symptoms that increase a person’s risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time. Cleerly is committed to providing safe and effective medical software that meets customer needs and our intended use. The adherence to all applicable regulatory and statutory requirements establishes a clear framework for setting measurable quality objectives. Our commitment to continually improving our products and processes proactively manages risks, ensuring ongoing compliance throughout the entire software lifecycle. Understanding this role's relevance and importance is critical to achieving Cleerly's quality objectives. About the Opportunity Join us for a full-time, 12- to 14-week internship that offers continuous learning, hands-on experience, and collaborative opportunities. You’ll be working in a multidisciplinary, cross-functional AI team to research, analyze, and build machine learning (ML) algorithms and pipelines. Key Responsibilities: - Research and develop state-of-the-art ML prototypes for applications in coronary CT angiography. - Conduct algorithmic analyses and evaluate prototype performance. - Present findings and recommendations to peers and stakeholders. - Contribute to patent applications and research publications. Qualifications: - Currently enrolled in a PhD or MS program in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field. - Research experience in applying machine learning and deep learning to medical image processing (e.g., denoising, registration, segmentation, classification, reconstruction, detection). - Strong problem-solving skills. - Proficiency in Python, PyTorch, or TensorFlow. - Excellent interpersonal skills and ability to collaborate across groups and cultures. Preferred Qualifications (Impress Us More!): - Experience in developing and applying advanced deep learning models, such as Stable Diffusion, vision transformer, and building foundation models with self-supervised training. - Strong track record of publications in top-tier medical imaging or computer vision conferences. OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. Job duties, activities, and responsibilities are subject to change by our company. . The base salary range for this role varies by location and is aligned to market benchmarks. - Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range. - Final compensation is determined based on location, experience, skills, and internal equity. - Hourly Salary (40 hours per week): $35 - $45 - Duration: 3-4 months *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards. Working at Cleerly takes HEART. Discover our Core Values: - H: Humility- be a servant leader - E: Excellence- deliver world-changing results - A: Accountability- do what you say; expect the same from others - R: Remarkable- inspire & innovate with impact - T: Teamwork- together we win Don’t meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce. We value experience, whether gained formally or informally on the job or through other experiences. Job duties, activities and responsibilities are subject to change by our company. OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. For more information see our Privacy Policy (https://cleerlyhealth.com/privacy-policy). All official emails will come from @cleerlyhealth.com email accounts. #Cleerly
Zoetis, a global leader in animal health, seeks an enthusiastic colleague to join our Veterinary Medicine Research and Development (VMRD) PK/PD Scientist Team to discover and develop novel therapeutics for veterinary medicine. The successful candidate will be primarily responsible for designing, conducting, analyzing, and interpreting in vivo PK/PD studies in multiple species in support of projects from early research through late-stage development. This position will require a highly motivated and independent leader who can effectively collaborate with other team members to advance projects. POSITION RESPONSIBILITIES: - Independently design and analyze in vivo PK/PD, PK and TK studies in multiple veterinary species, including writing study protocols and reports. - Provide PK and PK/PD modeling and simulation to help select lead candidates and optimize dose regimens. - Collaborate with bioanalytical team to assess suitability of analytical assays and forecast analytical requirements for projects. - Lead development of scientific strategy across therapeutic areas with a focus on mechanistic platforms/biomarkers to aid in translation, measurement of target engagement, and dose regimen predictions. - Work collaboratively and communicate effectively with multidisciplinary teams to design and prosecute studies in line with the strategic direction of the project. - Present research results to scientific teams, management, and regulatory agencies. - Write sections of regulatory submissions, respond to inquiries from regulatory agencies, and maintain knowledge of regulatory guidance documents. REQUIRED EDUCATION AND EXPERIENCE: - Ph.D in pharmacology, biochemistry, or related field with 4 or more years of relevant pharmaceutical development experience. DVM DACVCP or DVM Dipl. ECVPT is highly desirable. - Proven ability to design, analyze and interpret in vivo PK and PK/PD studies. Experience with biotherapeutics (protein therapeutics) is highly desirable. - Skilled in the use of PK and PK/PD analysis software such as WinNonlin, Monolix or Watson. - Must have excellent verbal & written communication skills. - Self-starter, able to prioritize work and work efficiently with minimal supervision. - Working knowledge of bioanalytical methodology. - Knowledge of ADA assays and assessment of immunogenicity of biotherapeutics is highly desirable. - Experience in PK/PD modeling and simulation such as PBPK, QSP or population PK modeling using NONMEM, R, or related software is highly desirable. - Experience interacting with regulatory agencies is highly desirable. - Experience conducting GLP studies is desirable. The US base salary range for this full-time position is $114,000 - $185,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the base pay target range for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. This position is also eligible for short-term incentive compensation This position is also eligible for long-term incentives In addition to compensation, Zoetis offers a comprehensive benefits package that supports the physical, emotional and financial wellbeing of our colleagues and their families including healthcare and insurance benefits beginning on day one, a 401K plan with a match and profit-sharing contribution from Zoetis, and 4 weeks of vacation. Visit zoetisbenefits.com to learn more. Full time Regular Colleague Any unsolicited resumes sent to Zoetis from a third party, such as an Agency recruiter, including unsolicited resumes sent to a Zoetis mailing address, fax machine or email address, directly to Zoetis employees, or to Zoetis resume database will be considered Zoetis property. Zoetis will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Zoetis will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. This includes any Agency that is an approved/engaged vendor but does not have the appropriate approvals to be engaged on a search. Notice: Zoetis Recruiters will contact candidates via email from an address ending in @zoetis.com and may also initially connect with candidates through LinkedIn, including LinkedIn InMail. Zoetis does not use Gmail, Outlook, Yahoo, or other web-based/generic email domains to communicate about job opportunities, interviews, or offers of employment. If you receive a recruitment-related email message claiming to be from Zoetis that does not come from @zoetis.com, please treat it as suspicious. For your security, do not reply, click links, open attachments, share personal or financial information, or send money in response to unexpected or questionable recruitment communications. Zoetis is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status or any other protected classification. Disabled individuals are given an equal opportunity to use our online application system. We offer reasonable accommodations as an alternative if requested by an individual with a disability. Please contact Zoetis Colleague Services at zoetiscolleagueservices@zoetis.com to request an accommodation. Zoetis also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as employment eligibility verification requirements of the Immigration and Nationality Act. All applicants must possess or obtain authorization to work in the US for Zoetis. Zoetis retains sole and exclusive discretion to pursue sponsorship for the acquisition or maintenance of nonimmigrant status and employment eligibility, considering factors such as availability of qualified US workers. Individuals requiring sponsorship must disclose this fact. Please note that Zoetis seeks information related to job applications from candidates for jobs in the U.S. solely via the following: (1) our company website at www.Zoetis.com/careers site, or (2) via email to/from addresses using only the Zoetis domain of “@zoetis.com”. In addition, Zoetis does not use Google Hangout for any recruitment related activities. 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Grant Funded Opinion Team Summer Internship
USA TODAY Co.USA TODAY Co., Inc. is a diversified media company with expansive reach at the national and local level dedicated to empowering and enriching communities. We seek to inspire, inform, and connect audiences as a sustainable, growth-focused media and digital marketing solutions company. Through our trusted brands, including the USA TODAY NETWORK, we provide essential journalism, local content, and digital experiences to audiences and businesses.
Role Description USA TODAY is seeking a summer intern to join its Opinion team. This exciting opportunity involves fact-checking opinion columns and offers the chance to write opinion columns as well. This is a 10-week program, 40 hours per week. Hourly rate is $18.00. - Fact-check opinion columns to ensure accuracy and credibility. - Collaborate with the Opinion team to develop and write opinion columns. - Conduct research to support opinion pieces. - Engage with readers and respond to feedback on published columns. Qualifications - Strong interest in journalism and opinion writing. - Excellent research and fact-checking skills. - Ability to write clearly and persuasively. - Attention to detail and commitment to accuracy. - Ability to work independently and meet deadlines. Application Instructions We are eager to learn more about you and how you fit this role. When you apply, don’t limit your upload to a resume; show us what you’ve done. To do so, put together a single document file that includes the following, in this order: - Your resume (1–2 pages) - A cover letter outlining how you would approach the internship and what you hope to gain from the experience. - Links to 3–6 samples of your work It is important that these items be assembled into a single document and uploaded in PDF format. Completing these steps will ensure that your application receives the highest consideration. Equal Opportunity Employer USA TODAY Co., Inc. is a proud equal opportunity employer committed to building and maintaining a diverse workforce. As such, we will consider all qualified applicants for employment and do not discriminate in connection with employment decisions on the basis of an applicant or employee’s race, color, national origin, ethnicity, ancestry, citizenship status, sex, gender, gender identity, gender expression, religion, age, marital status, personal appearance (including height and weight), sexual orientation, family responsibilities, physical or mental disability, medical condition, pregnancy status (including childbirth, breastfeeding or related medical conditions), education, genetic characteristics or information, political affiliation, military or veteran status or other classifications protected by applicable federal, state and local laws in the jurisdictions where USA TODAY Co. employs employees. In addition, USA TODAY Co., Inc. will provide applicants who require a reasonable accommodation, as a result of an applicant’s disability or religion, to complete this employment application and/or any other process in connection with an individual's application for employment with USA TODAY Co., Inc. Applicants who require such accommodation should contact USA TODAY Co., Inc.’s Recruitment Department at Recruit@usatodayco.com . Applicants must be authorized to work in the applicable location. Applications from outside these regions will be removed from our system after submission.
Research Scientist, Recommendation Systems
Hook MusicHook is a social music platform, backed by top-tier investors, building the next generation of music discovery, fan expression, and creator growth. We turn the songs people love into sounds they can play with — enabling fans and creators to reimagine music through intuitive, remix-friendly experiences with zero learning curve. By partnering directly with artists, labels, and rightsholders, Hook ensures music is discovered, shared, and expressed in ways that respect and reward the people behind it. At Hook, music isn’t just consumed — it’s experienced, expressed, and made personal.
About Hook Hook is a social music platform, backed by top-tier investors, building the next generation of music discovery, fan expression, and creator growth. We turn the songs people love into sounds they can play with — enabling fans and creators to reimagine music through intuitive, remix-friendly experiences with zero learning curve. By partnering directly with artists, labels, and rightsholders, Hook ensures music is discovered, shared, and expressed in ways that respect and reward the people behind it. At Hook, music isn’t just consumed — it’s experienced, expressed, and made personal. Role Overview We are looking for a Research Scientist to design, develop, and advance state-of-the-art recommendation systems that power personalized user experiences at scale. In this role, you will conduct applied research, translate theoretical insights into production-ready models, and partner closely with engineering and product to drive measurable impact. You’ll work on problems such as ranking, personalization, user modeling, exploration-exploitation, and representation learning, using real-world data and user-generated content. What You’ll Do - Design, implement, and evaluate machine learning models for recommendation, ranking, and personalization - Conduct applied research to improve model quality, robustness, and efficiency - Develop and execute experimentation strategies using offline evaluation and online testing - Work with complex datasets to understand user behavior and system performance - Collaborate with engineering and product teams to transition research into production systems - Share research results in clear, accessible ways with both technical and non-technical audiences - Stay informed about advances in recommendation systems and related ML methodologies Required Skills & Experience - Advanced degree (PhD or MS) in Computer Science, Machine Learning, Statistics, or a related field, or equivalent experience - Experience developing recommendation, ranking, or personalization models for user-generated content. - Strong foundation in machine learning, statistics, and data analysis - Proficiency in Python and modern ML frameworks (e.g., PyTorch) - Ability to conduct independent research and collaborate effectively in team environments Preferred Skills & Experience - Prior publications or submissions to RecSys or closely related venues - Experience working with large-scale data and computational systems - Experience with representation learning, sequence modeling, or large-scale optimization - Experience transitioning research prototypes into production systems Why This Role Matters This role will influence the company’s research direction—how we develop novel models, push technical boundaries, and bring cutting-edge science into production. You’ll have significant ownership, and the opportunity to build a world-class applied research function from the ground up. Compensation Competitive base salary, meaningful equity ownership, and the opportunity to build and lead growth at a fast-growing consumer company.

