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associate data scientist genomic medicine

MD Anderson Cancer Center

<div>The University of Texas MD Anderson Cancer Center has the potential to unlock the power of data by further developing and investing in talent, team science and infrastructure to optimize multidimensional data integration, analysis and application for the benefit of patients with cancer. The Institute for Data Science in Oncology (IDSO) is a signature priority program aimed at transforming the patient experience, enhancing quality of life and accelerating scientific breakthroughs via advanced, data-driven approaches to cancer care. IDSO will enable teams to search for, learn from and apply as much information as possible gathered from every patient MD Anderson has seen or will see. By growing a data-centric culture and advancing data management and analytics maturity, we provide better, state-of-science and state-of-data-science care for patients while exploring areas of cancer research and treatment currently unknown to clinical communities.<br>
<br>
The IDSO recruits, positions and enables best-in-class data scientists to unravel seemingly insoluble problems in cancer and work toward meaningful solutions for patients. Our aims comprise reducing the time between diagnostic procedures and treatment decisions, advancing drug discovery efforts and bringing new, precise medicines to bedsides sooner. The IDSO centralizes our focused institutional investment in data science, as well as enables partnerships with other world-leading organizations, to operate and enhance an unprecedented oncological &quot;data supply chain&quot; designed to accelerate research and treatment innovation. Comprised of the best minds in a myriad of scientific and data-driven fields, the IDSO facilitates a culture grounded in our innovative &quot;team-data science&quot; principles, such as shared motivation, shared learning, provenance linking insights to observations and integrated data governance.
<br>
<br>
One of the five focus areas IDSO has prioritized is Focus Area 2 - Single Cell Spatial Omics to Unveil Cancer Complexity, which is co-led by Dr. Linghua Wang, a Professor in the department of Genomic Medicine at MDAnderson Cancer Center and a recognized computational biologist and leader in single-cell spatial research in cancer. Our goal is to build a world-class data science hub for single-cell and spatial omics studies to accelerate the discovery and translation of cancer research at MD Anderson and beyond.<br>
<br>
We are seeking multiple highly motivated and enthusiastic Associate Data Scientists to assist in the analysis and development of algorithms and software for clinical, operational, and scientific problems.<br>
<br>
Dr. Linghua Wang and her group will provide guidance and support, assisting the candidates in brainstorming workflow decisions and optimizing the pipeline development process. With our significant expertise in the field, we are committed to supporting each candidate achieve excellence in their role.<br>
<br>
The ideal candidate is a highly motivated and detail-oriented computational scientist who excels in developing and scaling single-cell and spatial omics analysis pipelines, communicates complex results effectively, and thrives in a collaborative research environment while contributing to training, publications, and innovative data visualization tools.<br>
<br>
<b>MD Anderson offers employees:</b><br>
<ul><li>Paid employee medical benefits (zero premium) starting on first day for employees who work 30 or more hours per week.</li><li>Group Dental, Vision, Life, AD&amp;D and Disability coverage.</li><li>Paid time off (PTO) and Extended Illness Bank (EIB) paid leave accruals.</li><li>Paid institutional holidays, wellness leave, childcare leave, and other paid leave programs.</li><li>Tuition Assistance Program after six months of service.</li><li>Teachers Retirement System defined-benefit pension plan and two voluntary retirement plans.</li><li>Employer paid life, AD&amp;D and an illness-related reduced salary pay program.</li><li>Extensive wellness, recognition, fitness, employee health programs and employee resource groups.</li><li>Opportunities for professional growth through Career Development Center and Mentoring programs.</li></ul><br>
<b>
JOB SPECIFIC COMPETENCIES:</b><br>
<br>
<b>Technical-specific:</b><br>
<ul><li>Participate in the design, development, and optimization of single-cell and spatial omics data analysis pipelines and computational frameworks.</li><li>Benchmark computational methods and toolkits to ensure best practices and excellence in data processing and analysis.</li><li>Ensure scalability and efficiency of the pipelines to process, analyze, and integrate large and complex datasets.</li><li>Conduct rigorous testing and validation of computational tools to ensure accuracy and reproducibility.</li><li>Participate in the design, development, and optimization of interactive web portals for effective data exploration and visualization and make recommendations on new procedures.</li></ul><br>
<b>
Collaboration and Communication:</b><br>
<ul><li>Meet with teams and collaborators regularly to discuss projects, communicate results, and provide computational expertise. Effective collaboration is a strong component of this role.</li><li>Design, develop, and lead firsthand training workshops and seminars.</li></ul><br>
<b>
Research and Publication:</b><br>
<ul><li>Assist with code submission and distribute analytical methods and codes to the scientific community.</li><li>Assist with manuscript and grant preparation and presentations, and present at lab meetings, departmental and institutional seminars, and appropriate scientific conferences.</li></ul><br>
<b>
Other Duties:</b><br>
<ul><li>Attend collaborator meetings and team working group meetings, efficiently manage projects to ensure timely completion while optimizing the use of resources.</li><li>Stay up to date with relevant technologies, methods, literature, systematically gather information systematically.</li></ul><br>
Candidates will demonstrate:<br>
<ul><li>Must be honest, highly motivated, reliable, responsible, and well-organized.</li><li>Strong attention to detail, with the ability to multi-task and a willingness to learn new methods and technologies.</li><li>Excellent written and verbal communication skills.</li><li>Ability to work effectively in a collaborative and interdisciplinary team environment (strong plus).</li><li>Possess strong problem-solving skills with the ability to analyze complex issues and develop effective solutions.</li></ul><br>
Other duties as assigned.<br>
<br>
<b>EDUCATION:
</b><br>
Required: Bachelor's Degree Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field.<br>
<br>
<b>EXPERIENCE:</b><br>
Required: Two years Scientific software or industry development/analysis.<br>
Preferred: Experience with large-scale biomedical datasets (including omics, imaging, and pathology), applying machine learning or AI methods to high-dimensional data, processing and analyzing spatial multi-omics data, and strong proficiency in Python and/or R for scientific data analysis.<br>
<br>
The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition.<br>
<br>
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.<br>
<br>
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state, or local laws unless such distinction is required by law.http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html<br>
<br>
Additional Information
<br>
<ul><li>Requisition ID: 179951
</li><li>Employment Status: Full-Time
</li><li>Employee Status: Regular
</li><li>Work Week: Days
</li><li>Minimum Salary: US Dollar (USD) 88,000
</li><li>Midpoint Salary: US Dollar (USD) 110,000
</li><li>Maximum Salary : US Dollar (USD) 132,000
</li><li>FLSA: exempt and not eligible for overtime pay
</li><li>Fund Type: Soft
</li><li>Work Location: Hybrid Onsite/Remote
</li><li>Pivotal Position: Yes
</li><li>Referral Bonus Available?: Yes
</li><li>Relocation Assistance Available?: Yes
</li></ul><br>
#LI-Hybrid</div>

Associate Data Scientist Genomic Medicine

Baylor College of Medicine

<div><div><div><div><h2 class="jobSectionHeader"><b>Summary</b></h2></div><div><p>
The Center for Innovations in Quality Effectiveness and Safety (IQuESt) at Michael E. DeBakey VA Medical Center and Baylor College of Medicine is seeking a talented individual for a full-time position as an Implementation Scientist. IQuESt is the largest center for Health Services Research within the Southwest. We conduct high-quality scientific research that improves the health of patients across the nation, by helping to ensure the patient-centered delivery of scientific discoveries. This Implementation Scientist position will support multiple research and implementation projects as part of the Implementation Science and Innovation Program. Members translate health care innovations within learning health care systems, advance and apply concepts and methods of implementation science, and lead healthcare improvement locally and nationally.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Job Duties</b></h2></div><div><ul><li>
Secure external funding as PI or a co-PI on projects related to population health sciences (e.g., behavioral interventions, health services research, implementation of best practices)</li><li>
Provide dissemination and implementation (D&amp;I) methodological advising and expertise to other investigators/projects</li><li>
Support interdisciplinary collaboration</li><li>
Serve as a co-investigator and mentor on D&amp;I grants providing D&amp;I science expertise and supporting the professional development of future implementation scientists and practitioners</li><li>
Participate in teaching D&amp;I seminars, workshops, and courses</li><li>
Collaborate actively and be a core member of the IQuESt Implementation Science &amp; Innovations Program</li><li>
Participate in the intellectual life of IQuESt and Baylor College of Medicine, via faculty committees, professional development activities, and department service opportunities.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Minimum Qualifications</b></h2></div><div><ul><li>
A PhD, DrPH, or equivalent research doctoral degree in a relevant discipline (completed by start date).</li><li>
Demonstrated ability to conduct scholarly research and capacity to obtain peer-reviewed funding.</li><li>
Demonstrated publication record.</li><li>
Demonstrated experience as an educator.</li><li>
Ability to mentor/ coach post-doctoral fellows.</li><li>
Highly self-motivated individual, enthusiastic about scientific discovery, and able to collaborate closely and effectively with other team members.</li><li>
Commitment to diversity, equity, and inclusion in the department, healthcare system, and community.</li></ul><p></p><p><br>
If interested in this position, please forward the following documents to Kyler Godwin, PhD (kyler.godwin@bcm.edu) and include:</p><br>
<p></p><ul><li>
Statement of interest and qualifications (include a description of past research accomplishments, plans for future research, and experience and approach to supporting a diverse and inclusive environment).</li><li>
CV which includes contact information.</li></ul></div></div></div><p></p><p><br>
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.</p></div><p></p>

Implementation Scientist, IQuESt (Assistant Professor)

<div><div><div><div><h2 class="jobSectionHeader"><b>Summary</b></h2></div><div><p>
The Scott Department of Urology at Baylor College of Medicine in Houston, TX is seeking a Research Coordinator II to join the growing Bladder Cancer Research Center team. We are looking for an organized and detail‑oriented laboratory professional who will play a key role in supporting the research program.</p><p></p><p><br>
This position assists with the daily operations of the tissue bank and helps maintain a safe, secure environment for all stored specimens.</p><p></p><p><br>
Responsibilities include collecting, processing, storing, and transporting human tissue samples across Baylor College of Medicine facilities and affiliated hospitals.</p><p></p><p><br>
The Coordinator will also support laboratory research projects within the Bladder Cancer Center, including IHC procedures and the collection of tumor, urine, and blood samples for germline analysis and potential longitudinal follow‑up studies.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Job Duties</b></h2></div><div><ul><li>
Obtain informed consent, screen, and enroll participants in clinical trials.</li><li>
Manage and maintain study visits, source documentation, adverse events (AEs), serious adverse events (SAEs), concomitant medication logs, as well as study subject and regulatory binders.</li><li>
Process, coordinate, and ship biological specimens (e.g., urine and blood) in accordance with protocol requirements.</li><li>
Coordinate clinical studies in compliance with sponsor protocols and timelines.</li><li>
Collaborate effectively with clinical and non-clinical teams to meet sponsor requirements.</li><li>
Collect, review, and analyze study data; perform accurate EDC data entry.</li><li>
Prepare for and support interim monitoring visits (IMVs), audits, and inspections.</li><li>
Ensure ongoing compliance with IRB and regulatory requirements.</li><li>
Partner with the Research Administration Associate on study renewals with central and local IRBs.</li><li>
Generate quarterly reports on enrollment metrics and study milestones.</li><li>
Work closely with the Principal Investigator (PI) to ensure enrollment targets and protocol compliance are achieved.</li><li>
Develop and implement SOPs aligned with clinical workflows for assigned studies.</li><li>
Establish and maintain systems to track, process, and monitor study activities.</li><li>
Perform other related duties as assigned.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Minimum Qualifications</b></h2></div><div><ul><li>
Bachelor's degree in a related field. Four years of related experience may substitute for degree requirement.</li><li>
One year of relevant experience.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Preferred Qualifications</b></h2></div><div><ul><li>
Experience with Pilot and Phase III/IV clinical trials.</li><li>
Familiarity with electronic medical records system.</li><li>
Experience with EDC systems (e.g., Medidata Rave).</li><li>
Prior regulatory experience.</li><li>
Strong organizational and time management skills.</li><li>
Ability to work independently and collaboratively in a team environment.</li><li>
Knowledge of urology clinical practices and procedures.</li><li>
Some of these studies involve extensive urine sample collection, patient consenting, and retrieval/printing of source documentation from prior urology records.</li><li>
Requires the ability to work collaboratively with multiple providers and coordinate across their clinics.</li></ul></div></div></div><p></p><p><b><br>
Work Authorization Requirement:</b></p><p><b>
This position is not eligible for visa sponsorship.</b> Candidates must be legally authorized to work in the United States at the time of application and throughout the duration of employment.</p><p></p><p><br>
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.</p></div>

Research Coordinator II - Urology

<div><div><div><div><h2 class="jobSectionHeader"><b>Summary</b></h2></div><div><p>
The Clinical Research Associate is responsible for the data management activities of moderate to complex clinical trials and research protocols for the Department of Pediatrics, Research Resource Office (RRO). Primary responsibilities include project management and data reporting of research patient data. Will also contribute to research protocol budget developments, cost assessments, and study reconciliations.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Job Duties</b></h2></div><div><ul><li>
Independently manages the daily operations of moderate to complex clinical trials and research protocols.</li><li>
Independently manages database of pending and prior clinical trials and research protocols.</li><li>
Provides guidance to investigators and other research staff, and serves as an source of expertise for data management projects, concepts and approaches.</li><li>
Conducts research subject recruitment, screening, and enrollment. Participates in subject consent process.</li><li>
Develops and maintains manual of operations, sop's, and procedural guides/guidelines.</li><li>
Provides budget input and guidance to investigators and other research staff, helping to develop cost assessments, draft budget justifications and complete other budget forms for submission and reporting.</li><li>
Completes data reporting in accordance with good clinical practice, federal regulations and institutional policies:<ul><li>
Oversees regulatory activities, including quality assurance and safety programs.</li><li>
Develops management plans to ensure timeliness and accuracy in data entries and reporting.</li><li>
Oversees submission of serious adverse event reporting and follow-up as needed.</li></ul></li><li>
Assists with expense oversight and study reconciliations.</li><li>
Performs other job-related duties as assigned.<br>
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Minimum Qualifications</b></h2></div><div><ul><li>
Bachelor's degree.</li><li>
Two years of relevant experience.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Preferred Qualifications</b></h2></div><div><ul><li>
Prior experience working in an academic research setting strongly preferred.</li><li>
Ability to understand and manage the complexities of clinical trials and research protocols, including issues related to informed consent, access to data, and conflict of interest.</li><li>
Strong attention to detail and data quality.</li></ul></div></div></div><p></p><p><b><br>
Work Authorization Requirement:</b></p><p><b>
This position is not eligible for visa sponsorship.</b> Candidates must be legally authorized to work in the United States at the time of application and throughout the duration of employment.</p><p></p><p><br>
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.</p></div>

Clinical Research Associate (Data Management) - Pediatrics - CRA Neurology Research

<div><div><div><div><h2 class="jobSectionHeader"><b>Summary</b></h2></div><div><p>
The Department of Radiation Oncology at Baylor College of Medicine in Houston, TX is recruiting for a position at the Assistant, Associate, or Full Professor level. Physicians are anticipated to take part in all facets of the clinical care, research, and educational mission of the College. Rank and salary based upon experience. This position would focus on Breast and Gynecologic Cancers and the applicant would be expected to participate in the HDR brachytherapy practice. This is a robust gynecologic practice treating &gt;100 patients per year across 4 physician providers and 2 health systems both equipped with new Varian Bravos units. Candidates must have completed their residency in an ACGME-accredited radiation oncology program and/or fellowship in an accredited US training program and have a track record of excellence in clinical care and research.</p><p></p><p><br>
Baylor has been an active part of the radiation oncology community in the Houston area for decades. Through our three current clinical partners, Baylor St Luke's Medical Center, Harris Health, and the Houston VA Hospital, we provide care to a diverse group of patients across the Houston metro area. Baylor College of medicine is a premier academic medical school ranked in the top tier for research and primary care in the US. The Dan L. Duncan Cancer Center is an NCI designated Comprehensive Cancer Center (one of 2 in Houston and 3 in Texas) harboring SPORE grants in both Breast Cancer and Lymphoma while BCM is also home to the Human Genome Sequencing Center. BCM has the highest NIH grant dollars of any center in Texas. A robust research enterprise is available with active participation in NRG, SWOG, and COG.</p><p></p><p><br>
The city of Houston is the 4th most populous city in The United States and its most racially and ethnically diverse major metropolitan area. As such, Houston is home to a vibrant food, music, and theater scene while the museum district alone is home to nineteen galleries, museums, and community spaces. The Texas Medical Center in turn is the largest concentration of medical-related institutions in North America. A total of 54 institutions are represented including: 4 medical schools, seven nursing schools, 8 academic and research institutions, and 21 hospitals. Come explore Space City and see what it has to offer.</p></div></div></div><p></p><p><br>
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.</p></div><p></p>

Physician, Radiation Oncology (Assistant, Associate, or Full Professor)

<div><div><div><div><h2 class="jobSectionHeader"><b>Baylor College of Medicine
</b></h2></div><div><p>Baylor (www.bcm.edu) is recognized as one of the nation&rsquo;s premier academic health science centers and is known for excellence in education, research, and healthcare and community service. Located in the heart of the world's largest medical center (Texas Medical Center), Baylor is affiliated with multiple educational, healthcare and research affiliates (Baylor Affiliates).</p></div></div><p></p><div><div><h2 class="jobSectionHeader"><b><br>
Summary</b></h2></div><div><p>
The Michael E. DeBakey Department of Surgery (department) in the Division of Cardio/Thoracic Surgery at Baylor College of Medicine (BCM) seeks a highly qualified individual with a PhD and postdoctoral experience in Computer Science, Data Science, Medical Informatics or Equivalent Field. The Assistant Professor would serve as scientific lead for Dr. Ravi Ghanta, overseeing the Department of Surgery ATLAS AI program they would make decisions and take responsibility for scientific progress and help Dr. Ghanta manage the large team involved in the grant.</p><p></p><p><br>
Under this role, the Assistant Professor will work on research projects involving machine learning and artificial intelligence with application to electronic health data. The Assistant Professor is expected to be able to perform overseeing data engineering of electronic health data for application of machine learning or artificial intelligence tools, interoperability with EHR systems, and evaluation of algorithm predictive performance. The Assistant Professor is also expected to lead research personnel involved in the Dept of Surgery ATLAS Ai program. They will interact directly with postdoctoral fellows, graduate students, and medical students.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Job Duties</b></h2></div><div><ul><li>Oversee and coordinate logistics and execution of various research projects.</li><li>Manage project progress and execution of project goals and milestones.</li><li>Plan and direct research experiments related to research studies implementing the MasSpec Pen technology for tissue analysis and cancer detection.</li><li>Organize, evaluate, and analyze data with other researchers.</li><li>Develop research techniques and perform applications required for specific research projects.</li><li>Conduct literature searches and summarize information in an appropriate format for a particular study.</li><li>Document results of experiments and reports to principal investigators.</li><li>Supervise, schedule and coordinate the activities of the research team involved in multiple research projects.</li><li>Write progress reports, manuscripts and grant proposals.</li><li>Manage execution of experiments using mass spectrometry instrumentation, as well as data and statistical analysis.</li><li>Lead clinical studies and participate in research involving human subjects. Interact directly with clinicians, surgeons, and pathologists to fulfill the aims of the research projects.</li><li>Supervise research staff including graduate and undergraduate students.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Minimum Qualifications</b></h2></div><div><p>
Required Education and Experience: Ph.D. in computer science, data science, medical informatics, or related field. Successful track record of collaboration with clinical investigators and in interdisciplinary teams; accomplished academic record sufficient to fulfill criteria for an assistant professor level faculty appointment at Baylor College of Medicine.</p></div></div></div><p></p><p><br>
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.</p></div><p></p>

Assistant Professor - Cardio/Thoracic Surgery

Engineers & Constructors International

<div>Join the ECI Group's Professional Technical Services Network as a<i> </i><b><i>Sr Data Scientist</i></b><i>. </i>This is a Houston based contract role with an anticipated April 22, 2026 start date and ending on December 31, 2026. <b><i>Note: You must be a US Citizen or Permanent US Resident to qualify for this position.</i></b><br>
<br>
We are looking for candidate with the ability to translate a business question into a data science solution. This requires that you have next to your knowledge of machine learning and/or statistics a good grasp of software development. Next to the data science capabilities and experiences you should be able to clearly and effectively present findings to our colleagues in other areas of expertise and business stakeholders.<br>
<br>
The ideal candidate has strong background in quantitative skills (like statistics, mathematics, advanced computing, machine learning) and has applied those skills in solving real world problems across different businesses / functions.<br>
Accountabilities:<ul><li>
Developing data science solutions to business challenges.</li><li>
Write clean and maintainable production-level code, including tests; the tech stack we work with includes Python,<b> </b>Databricks<b>,</b> GIT, Azure, SQL.</li><li>
Integrating models into production on a weekly or even daily basis</li><li>
Work closely with the customer and the Product Owner day-to-day</li><li>
Work in a highly-collaborative, friendly Agile environment, participate in Ceremonies and Continuous Improvement activities.</li><li>
Documenting and explaining the results of analysis or modelling to both a technical and non-technical audience</li><li>
Learning new engineering practices, technologies and continuously improving our Agile practices</li></ul>
Special Challenges:<ul><li>
Rapid onboarding on projects, understanding analytics goal and working with ill-defined datasets</li><li>
Communicating technical jargon in plain English to colleagues within Data Science team and outside Virtual working with network of colleagues located throughout the globe<br>
</li></ul>
Skills &amp; Requirements:<ul><li>
Experience on data science projects.</li><li>
Broad experience and knowledge in Statistics, Machine Learning and data engineering.</li><li>
Awareness of issues in statistics and dependence on data quality</li><li>
A practical approach to problem solving and attention to detail.</li><li>
Passion for and expertise in practicing data science to solve real-world customer problems.</li><li>
Excellent oral and written communication skills.</li><li>
Strong interpersonal skills and enthusiasm for teamwork, as well as the ability to work independently.</li><li>
High standards of code quality, making use of version control tools.</li><li>
Proficiency in statistical software packages such as R, Python, Matlab.</li><li>
Good knowledge of cloud environment like specifically <b>Azure</b> is required.</li><li>
Experience in Agile working methodology | Software Configuration Management - Knowledge, Software Construction - Knowledge, Software Engineering Economics - Knowledge</li></ul>
Work Location and Schedule:<br>
This is an onsite role based in Houston, TX (150 N Dairy Ashford). Standard schedule is a 40 hours/week. Weekly paid travel is not provided.<br>
<br>
<b><i>Please Note: The ECI Group uses AI-assisted tools in the early stages of application review, with all decisions guided by human oversight and fully compliant with General Data Protection Regulation (GDPR) and ECI Group's applicable data protection policies and Privacy Notice.</i></b><br>
<p>
</p><p>gPJRJxWEge</p></div>

Sr Data Scientist

Explore 455+ Associate data scientist genomic medicine in Houston this April. Find roles across top companies and apply now to boost your career.