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associate data scientist genomic medicine

business intelligence (bi) developer — engineering analytics

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ai engineer [trading analytics & data engineering] Jobs in Houston

applied ai ml, senior associate Jobs in Houston

applied ai ml, senior associate

associate data scientist genomic medicine Jobs in Houston

business intelligence (bi) developer — engineering analytics Jobs in Houston

data analytics consultant, healthcare practice Jobs in Houston

senior data scientist

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

The Friedkin Group

<div><div><ul><li>Houston, Texas</li><li>
Information Technology</li><li>
Regular Full-Time</li><li>
The Friedkin Group</li><li>
10%</li><li>
Yes</li><li>
6581</li></ul><div></div><div><div><div><div><div><br>
</div></div></div></div></div></div><div></div><div><h2 class="jobSectionHeader"><b>
Job Description
</b></h2><div><div><b><i>Applicants must be legally authorized to work in the United States at the time of hire and must not require employer sponsorship now or in the future. This position is not eligible for employment visa sponsorship, and the company will not assume sponsorship obligations for existing visa holders.</i></b></div><div><br>
</div><div><b>Living Our Values</b><br>
All associates are guided by Our Values. Our Values are the unifying foundation of our companies. We strive to ensure that every decision we make and every action we take demonstrates Our Values. We believe that putting Our Values into practice creates lasting benefits for all of our associates, shareholders, and the communities in which we live.<br>
<br>
<b>Why Join Us</b></div><br>
<ul><li>
Career Growth: Advance your career with opportunities for leadership and personal development.</li><li>
Culture of Excellence: Be part of a supportive team that values your input and encourages innovation.</li><li>
Competitive Benefits: Enjoy a comprehensive benefits package that looks after both your professional and personal needs.</li></ul><div><b>
Total Rewards</b><br>
Our Total Rewards package underscores our commitment to recognizing your contributions. We offer a competitive and fair compensation structure that includes base pay and performance-based rewards. Compensation is based on skill set, experience, qualifications, and job-related requirements. Our comprehensive benefits package includes medical, dental, and vision insurance, wellness programs, retirement plans, and generous paid leave. Discover more about what we offer by visiting our Benefits page.</div><div></div><div><b><br>
A Day In The Life</b><br>
We are seeking a skilled and business-oriented Data &amp; AI Governance Senior Manager to define, operationalize, and continuously mature an enterprise Data &amp; AI Governance program across The Friedkin Group of companies. This role will establish the operating model, forums, policies, standards, and controls needed to ensure data and AI are trusted, secure, compliant, high quality, and fit for business use. The position will lead governance across core data domains and critical capabilities such as data ownership and stewardship, business glossary and definitions, metadata and cataloging, lineage, data quality, master data, retention, privacy, and information lifecycle management, while also standing up practical AI governance for advanced analytics, machine learning, generative AI, automation, and third-party AI solutions. The Data &amp; AI Governance Senior Manager will partner closely with business executives, legal, privacy, cybersecurity, technology, analytics, and delivery teams to enable innovation while managing risk and increasing consistency, accountability, and value realization.</div><div></div><div><br>
As a Sr Mgr, Data Governance you will:</div><ul><li>
Define and execute enterprise strategy: Develop and maintain a pragmatic Data &amp; AI Governance strategy, roadmap, and operating model aligned with business priorities, regulatory requirements, and enterprise risk appetite.</li><li>
Establish governance structure and decision rights: Stand up governance councils, stewardship forums, and escalation paths; clarify roles for data owners, data stewards, AI owners, model owners, and technology partners.</li><li>
Lead foundational data governance: Drive policy, standards, and operating practices for data domains, data definitions, business glossary, metadata, cataloging, lineage, data lifecycle management, and data certification.</li><li>
Advance data quality and master data practices: Partner with business and technology teams to define critical data elements, quality rules, thresholds, issue-management workflows, root-cause remediation, and master/reference data controls.</li><li>
Operationalize AI governance: Design and run intake, triage, risk-tiering, review, approval, and exception processes for AI use cases, including machine learning, generative AI, copilots, agents, and third-party AI-enabled solutions.</li><li>
Define AI control requirements: Establish documentation and control expectations such as use-case inventory, risk assessments, model or system cards, human oversight requirements, testing standards, access controls, monitoring requirements, and retirement criteria.</li><li>
Oversee AI and data risk management: Coordinate with Legal, Privacy, Information Security, Compliance, and Risk teams to evaluate regulatory, ethical, security, privacy, bias, explainability, and operational risks associated with data and AI solutions.</li><li>
Drive monitoring and continuous improvement: Define governance KPIs, data quality scorecards, stewardship measures, and AI control effectiveness metrics; monitor outcomes such as data issue resolution, model performance, drift, fairness, audit readiness, and policy adherence.</li><li>
Enable business adoption and change management: Build and support a strong community of data owners, stewards, and AI stakeholders through training, communications, office hours, and practical guidance that embeds governance into day-to-day delivery workflows.</li><li>
Support platform and tooling adoption: Partner on the selection, configuration, and use of governance-enabling tools for cataloging, lineage, data quality, issue management, model inventory, workflow, and policy management.</li><li>
Provide executive visibility: Prepare materials, recommendations, dashboards, and decision logs for leadership forums; communicate progress, risks, tradeoffs, and value delivered through the governance program.</li><li>
Lead cross-functional governance workstreams, stewardship communities, and enterprise forums.</li></ul><div></div><div><b><br>
What We Need From You</b></div><br>
<ul><li>
Bachelor's Degree Information Management, Computer Science, Data Science, Business, Risk, or a related field, or an equivalent combination of education and experience. Req</li><li>
10+ years progressive experience in data governance, data management, information governance, analytics governance, risk/compliance, or a related discipline, including experience leading enterprise or cross-functional governance initiatives. Required</li><li>
Demonstrated experience defining and implementing data governance frameworks, operating models, policies, and standards across large or federated organizations.</li><li>
Experience partnering with legal, compliance, privacy, cybersecurity, architecture, engineering, analytics, and business stakeholders to translate policy into workable operating processes.</li><li>
Experience with governance and metadata tools such as Ataccama, Collibra, Alation, Microsoft Purview, Informatica/Axon, OneTrust, DataHub, Dataiku Govern, or similar platforms is preferred.</li><li>
Working knowledge of responsible AI and AI governance concepts, including model lifecycle controls, human oversight, documentation, use-case review, risk assessment, monitoring, and regulatory or standards awareness. (High proficiency)</li><li>
Strong knowledge of master data management, metadata management, data cataloging, lineage, data quality management, retention, privacy, security, and information lifecycle practices. (High proficiency)</li><li>
Strong facilitation, program management, and change leadership skills, with the ability to influence senior stakeholders and drive adoption without creating unnecessary bureaucracy. (High proficiency)</li><li>
Excellent written and verbal communication skills, including the ability to translate complex technical and regulatory concepts into practical business requirements and action plans. (Medium proficiency)</li><li>
Certified Data Professional CDMP, DGSP, CIPP or AIGPPreferred</li></ul><div><b>
Physical and Environmental Requirements</b><div>
The physical requirements described here are representative of those that must be met by an associate to successfully perform the essential functions of the job. While performing the duties of the job, the associate is required on a daily basis to analyze and interpret data, communicate, and remain in a stationary position for a significant amount of the work day and frequently access, input, and retrieve information from the computer and other office productivity devices. The associate is regularly required to move about the office and around the corporate campus. The associate must frequently move up to 10 pounds and occasionally move up to 25 pounds.</div></div><div></div><div><div><b><br>
Travel Requirements</b><br>
10% The associate is occasionally required to travel to other sites, including out-of-state, where applicable, for business</div></div><div></div><div><div><b><br>
Join Us</b><br>
The Friedkin Group and its affiliates are committed to ensuring equal employment opportunities, including providing reasonable accommodations to individuals with disabilities. If you have a disability and would like to request an accommodation, please contact us at TalentAcquisition@friedkin.com. We celebrate diversity and are committed to creating an inclusive environment for all associates.<br>
<br>
We are seeking candidates legally authorized to work in the United States, without Sponsorship.</div></div></div></div></div>

Sr Manager, Data Governance

Pivot3

<div><div><b>Pivot3</b> is the leading provider of intelligent hyperconverged infrastructure (HCI) solutions for video surveillance, video analytics, VDI and mixed workloads. Pivot3&rsquo;s solutions provide security, resilience and management simplicity at scale for customers&rsquo; mission-critical environments. With thousands of customers in 64 countries, and deployments in education, hospitality, transportation, government, defense, healthcare, gaming, financial services and retail, Pivot3 is a fast-growing company (recognized by industry analysts Gartner and Forrester as a key HCI vendor) with opportunity for career growth and the ability to make a real impact on shaping the future of the business.</div>
<div></div><div>We are actively recruiting for a Data Path Software Engineer to join our Engineering team. This role will work with Product Management, Quality Engineering and Software Engineering to advance our data path technologies, performance and capability.</div>
<div></div><div><b>Responsibilities</b></div>
<ul><li>Contribute to the design and architecture of new or re-engineered software in our core areas of distributed computing and high-performance storage</li>
<li>Collaborates on and implements architecture recommendations surrounding performance, resiliency, preventive maintenance, and high availability</li>
<li>Identifies and eliminates performance bottlenecks and makes performance-related recommendations (hardware, software, configuration)</li>
<li>Designs and develops major functional or performance enhancements for existing products, or produces new software products or tools</li>
<li>Work closely with Quality Engineering, Product Management and other Engineering teams</li>
<li>Develop, test, and integrate code for new or existing software of significant complexity</li>
<li>Promote and participate in design, efficient code and collaborative code reviews</li>
<li>Provide sustaining or maintenance support to existing software environment, either by implementation or providing guidance to &ldquo;junior&rdquo; engineers</li>
</ul><div><b>Skills/Qualifications/Education</b></div>
<ul><li>B.S. in Computer Engineering, Computer Science or equivalent is strongly preferred</li>
<li>8 - 10 years of experience in a Software Engineer or Senior Software Engineer capacity</li>
<li>Proven and demonstrable experience with C/C++</li>
<li>Strong understanding of storage protocols (iSCSI, SAS/SATA, PCIe) is a big plus</li>
<li>Experience working with Jenkins or similar CI tools</li>
<li>Experience working and integrating with VMware is a plus</li>
<li>Experience with Agile methodologies is strongly preferred</li>
<li>Proficiency with IP networking in Linux environment</li>
<li>Good understanding of performance monitoring and hardware limitations of enterprise level servers</li>
<li>Assertive communication and ability to influence cross functional stakeholders to make best decisions for the company and clients</li>
<li>Strong written and verbal communications are a must</li>
</ul><div><i>Pivot3 is an equal opportunity employer. All candidates for employment will be considered without regard to race, color, religion, sex, national origin, physical or mental disability, veteran status, or any other basis protected by applicable federal, state or local law.</i></div>
<div></div><div><b><i>Staffing/Recruiting/Placement Firms:</i></b> <i>Pivot3 will not accept candidate referrals for this posting and are not responsible for any fees related to unsolicited resumes.</i></div></div>

Senior Software Engineer - Data Path

<div><div><h2 class="jobSectionHeader"><b>Position Description:</b></h2>
<p>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>
This role is located in Houston, TX. And is a hybrid role with 3 days onsite.<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:<br>
Developing data science solutions to business challenges.<br>
Write clean and maintainable production-level code, including tests; the tech stack we work with includes Python, Databricks, GIT, Azure, SQL.<br>
Integrating models into production on a weekly or even daily basis<br>
Work closely with the customer and the Product Owner day-to-day<br>
Work in a highly-collaborative, friendly Agile environment, participate in Ceremonies and Continuous Improvement activities.<br>
Documenting and explaining the results of analysis or modelling to both a technical and non-technical audience<br>
Learning new engineering practices, technologies and continuously improving our Agile practices<br>
Special Challenges:<br>
o Rapid onboarding on projects, understanding analytics goal and working with ill-defined datasets<br>
o 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>
<br>
Skills &amp; Requirements:<br>
Experience on data science projects.<br>
Broad experience and knowledge in Statistics, Machine Learning and data engineering.<br>
Awareness of issues in statistics and dependence on data quality<br>
A practical approach to problem solving and attention to detail.<br>
Passion for and expertise in practicing data science to solve real-world customer problems.<br>
Excellent oral and written communication skills.<br>
Strong interpersonal skills and enthusiasm for teamwork, as well as the ability to work independently.<br>
High standards of code quality, making use of version control tools.<br>
Proficiency in statistical software packages such as R, Python, Matlab.<br>
Good knowledge of cloud environment like specifically Azure is required.<br>
Experience in Agile working methodology<br>
<br>
#LI-SG2<br>
#DICE<br>
Other Information:<br>
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $109,500.00 - $138,600.00.<br>
CGI's benefits are offered to eligible professionals on their first day of employment to include:
<br>
. Competitive compensation<br>
. Comprehensive insurance options<br>
. Matching contributions through the 401(k) plan and the share purchase plan<br>
. Paid time off for vacation, holidays, and sick time<br>
. Paid parental leave<br>
.Learning opportunities and tuition assistance<br>
. Wellness and Well-being programs</p>
</div><div><h2 class="jobSectionHeader"><b>Skills:</b></h2>
<ul><li>Data Engineering</li>
<li>Data Quality Management</li>
</ul></div><div><h2 class="jobSectionHeader"><b>What you can expect from us:</b></h2>
<p><b>Together, as owners, lets turn meaningful insights into action.</b><br>
<br>
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, youll reach your full potential because<br>
<br>
You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.<br>
<br>
Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.<br>
<br>
Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
<br>
<br>
Come join our teamone of the largest IT and business consulting services firms in the world.<br>
<br>
Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business.<br>
<br>
CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_Compliance@cgi.com. You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. <b>Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned.</b><br>
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We make it easy to translate military experience and skills! to be directed to our site that is dedicated to veterans and transitioning service members.<br>
<br>
All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances.<br>
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CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGIs legal duty to furnish information.</p></div></div>

Data Scientist

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.</p><p>
As a Senior Lead Data Engineer at JPMorganChase within the Commercial and Investment Banking, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.</p><p>
</p><p><b>Job responsibilities</b></p><div>
</div><ul><li>Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors</li><li>
Develops secure and high-quality production code, and reviews and debugs code written by others</li><li>
Drives decisions that influence the product design, application functionality, and technical operations and processes</li><li>
Serves as a function-wide subject matter expert in one or more areas of focus</li><li>
Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle</li><li>
Influences peers and project decision-makers to consider the use and application of leading-edge technologies</li><li>
Adds to the team culture of diversity, opportunity, inclusion, and respect</li></ul><p>
</p><p><b>Required qualifications, capabilities, and skills</b></p><div>
</div><ul><li>Formal training in software engineering concepts and 10+ years of applied experience.</li><li>
Extensive experience building and operating AWS/public cloud&ndash;based applications.</li><li>
Strong Python programming skills.</li><li>
Proven hands‑on delivery across system design, application development, testing, and operational stability.</li><li>
Proficiency in automation, CI/CD, and all aspects of the SDLC.</li><li>
Experience with pipelines and DAGs for data processing and/or machine learning.</li><li>
Demonstrated proficiency in cloud and AI/ML software practices.</li><li>
Strong problem‑solving, communication, and stakeholder collaboration skills.</li><li>
Familiarity with MLOps practices and tooling.</li><li>
Experience driving adoption of AI engineering tools (e.g., GitHub Copilot) for JIRA, documentation, coding, and releases, with measurable productivity and quality gains.</li></ul><p>
</p><p><b>Preferred qualifications, capabilities, and skills</b></p><p>
</p><ul><li>Experience leading a small team as tech lead and/or manager.</li><li>
Proficiency with AWS (hands-on): SageMaker, Bedrock, Glue, Redshift Serverless, DynamoDB, EventBridge, Step Functions, Lambda, ECS, EKS, Kinesis, CloudWatch</li><li>
Experience with Python, Terraform, GitHub Copilot, Airflow, Kubernetes, Docker, MLflow, Datadog, Dynatrace, MCP.</li><li>
Familiarity with JPMC platforms/tools (highly preferred): Jules/JET, GKP (Gaia Kubernetes), Fusion MLOps</li></ul><p>
</p><p></p><b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
J.P. Morgan&rsquo;s Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Sr. Lead Data Engineer - AI/ML

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)

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>
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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.
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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>
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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>
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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>
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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>
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<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>
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JOB SPECIFIC COMPETENCIES:</b><br>
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<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>
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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>
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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>
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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>
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<b>EDUCATION:
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Required: Bachelor's Degree Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field.<br>
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<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>
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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>
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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>
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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>
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Additional Information
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<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>
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Associate Data Scientist Genomic Medicine

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