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associate, digital finance transformation - data scientist - private equity performance improvement (open to all us locations)

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senior analytics and data solutions specialist Jobs in Houston

ai computational data scientist Jobs in Houston

ai computational data scientist

associate, digital finance transformation - data scientist - private equity performance improvement (open to all us locations) Jobs in Houston

associate data scientist

MD Anderson Cancer Center

<div>The Department of Health Services Research conducts the highest quality health services research with the ultimate aims of optimizing health care delivery and improving outcomes for the prevention and treatment of cancer. 
 
MD Anderson Cancer Center is a leading institution focused on cancer care, research, education, and prevention. The primary purpose of the Health Services Research Associate Data Scientist position is to develop and maintain mathematical, and simulation models related to research conducted in Health Services Research, develop optimization algorithms, computer code, perform statistical analysis and prepares reports, often associated with modeling cancer disease progression and medical decision making. 
 
The ideal candidate will experience with Markov decision processing or Monte Carlo simulation/modeling. 
 
Salary: Minimum $88,000 - Midpoint $110,000 - Maximum $132,000 
 
Work Location: Texas Medical Center 
 
Work Schedule: Onsite 2 - 3 days and as business needs. 
 
Responsibilities 
 
Mathematical Modeling 
 
<ul><li>Develop mathematical and optimization models to support cancer-related research.</li></ul> 
<ul><li>Implement optimization algorithms to solve analytical models to optimality.</li></ul> 
<ul><li>Validate analytical models using data from national and regional cancer registries and clinical trials.</li></ul> 
<ul><li>Maintain and update models to reflect evolving clinical practices.</li></ul> 
<ul><li>Learn and apply new optimization and approximation methods for efficient model solving.</li></ul> 

Simulation Modeling 
 
<ul><li>Build microsimulation or Monte Carlo simulation models of disease progression and cancer care processes.</li></ul> 
<ul><li>Validate simulation models using observational registry data and clinical trial data.</li></ul> 
<ul><li>Maintain and update simulation models as clinical standards evolve.</li></ul> 

Data Analysis &amp; Management 
 
<ul><li>Perform basic and advanced statistical analyses under guidance from statistical analysts.</li></ul> 
<ul><li>Assist faculty with the development of statistical methods for risk assessment and prediction.</li></ul> 
<ul><li>Manage datasets from national and regional cancer registries, clinical trials, medical billing systems, national surveys, and large claims databases including IBM MarketScan, Optum Clinformatics, and Medicare.</li></ul> 
<ul><li>Coordinate multiple concurrent projects efficiently.</li></ul> 

Research, Training &amp; Reporting 
 
<ul><li>Conduct literature reviews and learn relevant medical terminology.</li></ul> 
<ul><li>Support selection of study design, cohort definition, data analysis, and interpretation of results.</li></ul> 
<ul><li>Present at monthly lab meetings and assist in training trainees to use models and code.</li></ul> 
<ul><li>Prepare tables, figures, text summaries, memos, and components of scientific manuscripts.</li></ul> 

Computer Programming 
 
<ul><li>Develop computer code for data analyses, mathematical models, and simulation models using Julia, R, and Python.</li></ul> 
<ul><li>Create and maintain online code repositories using GitHub.</li></ul> 

EDUCATION 
 
Required: Bachelor's Degree Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field. 
 
WORK EXPERIENCE 
 
Required: Two years Scientific software or industry development/analysis. 
 
Preferred: Prior experience with Markov decision processing or Monte Carlo simulation/modeling. 
 
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. 
 
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. 
 
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 
 
Additional Information
 
<ul><li>Requisition ID: 179541
</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> 
#LI-Hybrid</div>

Associate Data Scientist

Alvarez & Marsal

<div></div><div><div><div>Location: Houston, TX, United States 
Date Posted: Feb 28, 2026</div><div><div> 
</div></div></div><div>Description
Digital Finance Transformation - Data Scientist: Associate &ndash; Private Equity Performance Improvement
About Alvarez &amp; Marsal
Alvarez &amp; Marsal (A&amp;M) is a global consulting firm with over 10,000 entrepreneurial, action and results-oriented professionals in over 40 countries. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work&mdash;guided by A&amp;M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity&mdash;are why our people love working at A&amp;M.
The Team
A&amp;M&rsquo;s Private Equity Performance Improvement Services (PEPI) practice works with private equity held portfolio companies and provides our clients with solutions to preserve and generate value for their businesses. Our goal is to improve transparency to key drivers and business performance, to support increasing cash and EBITDA, and to provide benefits through hands-on involvement in our clients&rsquo; operations. Our job is to support PE firms to ensure their portfolio companies have credible plans and the ability to execute and deliver financial outcomes.
Our PEPI CFO Services practice includes the following pillar of services:<ul><li>
Strategic Finance and Liquidity Management</li><li>
Accounting Advisory and Financial Reporting Solutions</li><li>
Working Capital Optimization</li><li>
Digital Finance Transformation</li><li>
Interim Management</li></ul>
How you will contribute
We are seeking an Associate or Senior Associate to join our Digital Finance Transformation team within PEPI. This role focuses on helping private equity portfolio companies accelerate digital enablement within the finance function&mdash;modernizing data environments, automating processes, and building analytics-driven tools that create measurable business impact.
The ideal candidate blends strong technical expertise in Python, SQL, and modern data platforms with a solid understanding of finance and accounting operations. You will work directly with CFOs, Controllers, and FP&amp;A leaders to design, implement, and operationalize digital solutions that improve performance, transparency, and scalability.
Qualifications<ul><li>
3-6 plus years of professional experience; consulting or professional services experience preferred.</li><li>
Advanced Python programming experience, including familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>
Strong SQL skills and experience with modern data platforms (Snowflake, Databricks, Azure Synapse, Microsoft Fabric).</li><li>
Experience with ETL/orchestration tools (Dagster, Temporal, Azure Data Factory, AWS Glue, Fivetran, Matillion).</li><li>
Demonstrated ability to develop lightweight finance applications using Streamlit or Retool.</li><li>
Solid understanding of finance and accounting concepts, including forecasting, working capital management, and three-statement modeling.</li><li>
Exceptional communication and collaboration skills; proven ability to translate between finance and technology teams.</li><li>
Ability to travel as required</li></ul>
#LI-LS1
Your journey at A&amp;M
We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person&rsquo;s unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career.
We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&amp;M. The possibilities are endless for high-performing and passionate professionals.
The salary range is $90,000-$130,000 annually, dependent on several variables including but not limited to education, experience, skills, and geography. In addition, A&amp;M offers a discretionary bonus program which is based on a number of factors, including individual and firm performance. Please ask your recruiter for details.
Alvarez &amp; Marsal recruits on an ongoing basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) that they are qualified for and that are of interest to them.
Full-time Positions and Part-time Positions Over 30 hours
Regular employees working 30 or more hours per week are also entitled to participate in Alvarez &amp; Marsal Holdings&rsquo; fringe benefits consisting of healthcare plans, flexible spending and savings accounts, life, AD&amp;D, and disability coverages at rates determined periodically as well as a 401(k) retirement savings plan. Provided the eligibility requirements are met, employees will also receive an annual discretionary contribution to their 401(k) retirement savings plan from Alvarez &amp; Marsal. Additionally, employees are eligible for paid time off including vacation, personal days, seventy-two (72) hours of sick time (prorated for part time employees), ten federal holidays, one floating holiday, and parental leave. The amount of vacation and personal days available varies based on tenure and role type.
Inclusive Diversity
A&amp;M&rsquo;s entrepreneurial culture celebrates independent thinkers and doers who can positively impact our clients and shape our industry. The collaborative environment and engaging work&mdash;guided by A&amp;M&rsquo;s core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity&mdash;are the main reasons our people love working at A&amp;M. Inclusive Diversity means we embrace diversity, and we foster inclusiveness, encouraging everyone to bring their whole self to work each day. It runs through how we recruit, develop employees, conduct business, support clients, and partner with vendors. It is the A&amp;M way.
Equal Opportunity Employer
It is Alvarez &amp; Marsal&rsquo;s practice to provide and promote equal opportunity in employment, compensation, and other terms and conditions of employment without discrimination because of race, color, creed, religion, national origin, ancestry, citizenship status, sex or gender, gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, family medical history, genetic information or other protected medical condition, political affiliation, or any other characteristic protected by and in accordance with applicable laws. Employees and Applicants can find A&amp;M policy statements and additional information by region here.
Unsolicited Resumes from Third-Party Recruiters
Please note that as per A&amp;M policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that A&amp;M will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.
</div><div><h2 class="jobSectionHeader">Inclusive Diversity</h2>
A&amp;M&rsquo;s entrepreneurial culture celebrates independent thinkers and doers who can positively impact our clients and shape our industry. The collaborative environment and engaging work&mdash;guided by A&amp;M&rsquo;s core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity&mdash;are the main reasons our people love working at A&amp;M. Inclusive Diversity means we embrace diversity, and we foster inclusiveness, encouraging everyone to bring their whole self to work each day. It runs through how we recruit, develop employees, conduct business, support clients, and partner with vendors. It is the A&amp;M way.
<h2 class="jobSectionHeader">Equal Opportunity Employer</h2>
It is Alvarez &amp; Marsal&rsquo;s practice to provide and promote equal opportunity in employment, compensation, and other terms and conditions of employment without discrimination because of race, color, creed, religion, national origin, ancestry, citizenship status, sex or gender, gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, family medical history, genetic information or other protected medical condition, political affiliation, or any other characteristic protected by and in accordance with applicable laws. .
<h2 class="jobSectionHeader">Unsolicited Resumes from Third-Party Recruiters</h2>
Please note that as per A&amp;M policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that A&amp;M will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.</div></div>

Associate, Digital Finance Transformation - Data Scientist - Private Equity Performance Improvement (OPEN TO ALL US LOCATIONS)

The Jupiter Group, Inc

<div>
 
 &bull; This role is for a Data Scientist in the Supply Chain &amp; Manufacturing domain, with specific experience in areas like retail supply chain, inventory planning, and forecasting. The team is focused on predictive analytics and machine analytics, building real forecasting and ML models rather than just operating existing tools. GenAI and LLMs are being explored, but they are not mature yet and not the main focus of the role today.
 
 
 &bull; The team is currently working with KumoAI (recommendation software). They are building systems around inventory forecasting and vendor recommendation, and want to take those solutions further. Inventory planning is a key business problem they&rsquo;ve already solved once and are now enhancing with more advanced ML and deep learning approaches.
 
 
 &bull; They are looking for someone who has hands-on experience building different types of forecasting models and machine learning models in Python, not someone who only consumes models or uses black-box solutions. The expectation is that this person has designed their own models from scratch and productionized them using platforms like AWS and Databricks. They&rsquo;ve even built internal software for forecasting that the business can directly use.
 
 
 &bull; From a technical perspective, they want strong experience in deep learning for time series forecasting, especially for inventory forecasting and planning. There is very little NLP involved, so this is not an NLP-heavy role. The profile leans more toward a Full Stack Data Engineer / Data Scientist hybrid &mdash; someone who understands data pipelines, modeling, and deployment end-to-end.
 
 
 &bull; They specifically do not want black-box model users. They need someone who understands what is happening inside the models, can tune and improve them, and apply them directly to real business problems.
 
 
 
</div>

Data Scientist

<div>We seek a talented, energetic, and collaborative Molecular Modeling Scientist to conduct both routine and novel analyses as part of our flagship platform A3D3a: Adaptive, AI-augmented, Drug Discovery and Development. With experience in structural prediction, comparative modeling, and emerging generative models, the Molecular Modeling Scientist will contribute to the discovery of novel cancer therapeutics as part of A3D3a. 
 
Led by Prof. Bissan Al-Lazikani, Director of Therapeutics Data Science, the intelligent and ever-learning A3D3a platform is part of MD Anderson's Therapeutics Data Science initiative and part of our ambitious Institute for Data Science in Oncology. A3D3a will accelerate the discovery and impact of novel therapies for cancer by enabling novel opportunities for optimized therapies for patients with a focus on rare and hard-to-treat cancers through the development of novel machine learning and AI technologies. 
 
Central to this vision, the Molecular Modeling Scientist will leverage state-of-the-art macromolecular modeling techniques and, collaboratively with senior scientists, develop innovative data science approaches to answer structural questions about and nominate therapeutic targets. Additionally, physics-based modeling may also compliment structural informatics and generative AI efforts. The preferred candidate should have at least an MSc in Chemistry, Biochemistry, Computer Science, or a related field. A strong background in computational modeling and a willingness to learn new approaches is critical to this role. 
 
The ideal candidate will be an experienced computational scientist with strong Python-based scientific computing skills and expertise in cheminformatics, generative AI, and molecular modeling-capable of building predictive ML models, generating and analyzing macromolecular structures, leveraging tools such as PyTorch, Modeller, Rosetta, and MD packages, and contributing effectively to multidisciplinary research through rigorous documentation, scientific communication, and efficient project management.
 
 
JOB RESPONSIBILITIES:
 
<ul><li>Generate comparative macromolecular models of potential therapeutic targets</li><li>Build and apply machine/deep learning models to predict structural properties</li><li>Analyze ensembles of structures through techniques such as clustering</li><li>Document work thoroughly</li><li>Produce output for scientific publications and contribute to said publications</li><li>Present results at multidisciplinary project meetings as well as external meetings</li><li>Attend collaborator meetings and team working group meetings. Prioritize and manage multiple projects in a timely and resource-effective manner.</li><li>Stay up to date with relevant literature, gather information systematically, and confer with the supervisor regarding new procedures.
</li><li>Expertise in scientific computing using Python in a Unix environment</li><li>Proficient with generative AI for structure prediction; familiar with PyTorch.</li><li>Proficiency with Modeller, Rosetta, or other classical comparative modeling tools</li><li>Experience with OpenMM, AMBER, or comparable MD tools</li><li>Experience with molecular visualization tools (i.e., PyMol, VMD)</li><li>Familiar with basic statistical testing</li></ul> 
Other duties as assigned. 
 
EDUCATION:
 
Required: Bachelor's Degree Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field. 
Preferred: Master's or PhD Degree Science, Engineering or related field. 
 
EXPERIENCE: 
Required: Three years scientific software or industry development/analysis experience. With Master's degree, one year. With PhD, no experience required. 
Preferred: Proficent with PyTorch. Profient with comparative modeling tools. 
 
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. 
 
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. 
 
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 
 
Additional Information
 
<ul><li>Requisition ID: 179242
</li><li>Employment Status: Full-Time
</li><li>Employee Status: Regular
</li><li>Work Week: Days
</li><li>Minimum Salary: US Dollar (USD) 106,500
</li><li>Midpoint Salary: US Dollar (USD) 133,000
</li><li>Maximum Salary : US Dollar (USD) 159,500
</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> 
#LI-Hybrid</div>

Data Scientist Molecular Modeling

<div>We seek a talented, energetic, and collaborative AI-driven Data Scientist to develop data science tools and predictive algorithms as part of the development of our flagship platform A3D3a: Adaptive, AI-augmented, Drug Discovery and Development. With expertise in Machine Learning and Deep Learning, the Data Scientist will inform our mission to discover novel therapeutic opportunities for cancer patients. 
 
Led by Prof. Bissan Al-Lazikani, Director of Therapeutics Data Science, the intelligent and ever-learning A3D3a platform is part of MD Anderson's Therapeutics Data Science initiative and part of our ambitious Institute for Data Science in Oncology. A3D3a will accelerate the discovery and impact of novel therapies for cancer by enabling novel opportunities for optimized therapies for patients with a focus on rare and hard-to-treat cancers through the development of novel machine learning and AI technologies. 
 
Central to this vision, the Data Scientist will innovate and deploy Machine Learning and Deep Learning approaches to uncover hidden therapeutic opportunities in integrated patient data and will work closely with biologists, data scientists, and clinicians. 
 
The ideal candidate has strong hands-on experience with machine learning, deep learning, and large language models, and is comfortable using tools like TensorFlow, Keras, and scikit-learn. They can address challenges such as data bias and imbalance, have solid programming skills in Python or similar languages, and possess a strong understanding of statistical methods. This person enjoys solving complex problems and developing practical AI solutions that make a meaningful impact.
 
 
What We Offer? 
<ul><li>Employer-paid medical coverage starting day one for employees working 30+ hours/week, plus optional group dental, vision, life, AD&amp;D, and disability insurance.</li><li>Accruals for PTO and Extended Illness Bank, plus paid holidays, wellness, childcare, and other leave options.</li><li>Tuition Assistance Program after six months of service and access to extensive wellness, fitness, and employee resource groups.</li><li>Defined-benefit pension through the Teachers Retirement System, voluntary retirement plans, and employer-paid life and reduced salary protection programs.</li></ul> 

JOB RESPONSIBILITIES: 
<ul><li>Build data science tools and predictive algorithms focusing on state-of-art machine learning models</li><li>Develop novel deep learning approaches and utilizing Large Language Models and Graph Neural Networks for cancer data</li><li>Maintain knowledge of cutting-edge machine learning approaches and technologies and implement these where appropriate</li><li>Perform data wrangling and preparation for deep learning analysis</li><li>Perform statistical analysis</li><li>Produce output for scientific publications and co-author said publications</li><li>Prepare written reports, manuscripts, and grant applications with investigators</li><li>Attend collaborator meetings and team working group meetings. Prioritize and manage multiple projects in a timely and resource-effective manner.</li><li>Stay up to date with relevant literature, gather information systematically, and confer with the supervisor regarding new procedures.</li><li>Other Duties as assigned.</li></ul> 

EXPECTED SKILLS:
 
<ul><li>Machine Learning (e.g., Na&iuml;ve Bayes, Random Forests, Support Vector Machines, etc.)</li><li>Deep Learning (e.g., Convolutional Neural Networks, Graph Neural Networks, Autoencoders, etc.)</li><li>LLM (fine-tuning, multi-agents)</li><li>Addressing challenges in Machine Learning / Deep Learning as well as mitigation strategies including data bias, imbalance, and model validation approaches</li><li>Machine-learning platforms (e.g., TensorFlow, sklearn, Keras, etc.)</li><li>Unix, Python, R/Matlab, or other scripting/programming languages</li><li>Excellent working knowledge of statistical methods and tests</li></ul> 

EDUCATION: 
Required: Bachelor's Degree Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field. 
Preferred: Master's or PhD in Science, Engineering or related field. 
 
EXPERIENCE: 
Required: Three years scientific software or industry development/analysis experience. With Master's degree one year. With PhD, no experience required. 
Preferred: Machine Learning, Large language model, AI Agent and/or Biomedical Research is a plus.
 
 
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. 
 
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. 
 
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 
 
Additional Information
 
<ul><li>Requisition ID: 179340
</li><li>Employment Status: Full-Time
</li><li>Employee Status: Regular
</li><li>Work Week: Days
</li><li>Minimum Salary: US Dollar (USD) 106,500
</li><li>Midpoint Salary: US Dollar (USD) 133,000
</li><li>Maximum Salary : US Dollar (USD) 159,500
</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> 
#LI-Hybrid</div>

AI Computational Data Scientist

Quest Diagnostics

<div>Medical Laboratory Scientist I - Houston, TX, Monday to Friday, 5:00 AM to 1:30 PM

Are you intrigued by the science of the human body? Curious about state-of-the-art laboratory instrumentation? Looking to join a Fortune 500 company leading the world in providing diagnostic information services? Quest Diagnostics is now recruiting for technologist positions ranging from entry level to experienced, with a wide range of benefits and training! 


Pay range: $29.50+ per hour

Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained. Market and organizational factors are also considered. Successful candidates may be eligible to receive annual performance bonus compensation. 


Benefits information: 
We are proud to offer best-in-class benefits and programs to support employees and their families in living healthy, happy lives. Our pay and benefit plans have been designed to promote employee health in all respects &ndash; physical, financial, and developmental. Depending on whether it is a part-time or full-time position, some of the benefits offered may include:
<ul>
<li>Day 1 Medical, supplemental health, dental &amp; vision for FT employees who work 30+ hours</li>
<li>Best-in-class well-being programs</li>
<li>Annual, no-cost health assessment program Blueprint for Wellness&reg;</li>
<li>healthyMINDS mental health program</li>
<li>Vacation and Health/Flex Time</li>
<li>6 Holidays plus 1 &quot;MyDay&quot; off</li>
<li>FinFit financial coaching and services</li>
<li>401(k) pre-tax and/or Roth IRA with company match up to 5% after 12 months of service</li>
<li>Employee stock purchase plan</li>
<li>Life and disability insurance, plus buy-up option</li>
<li>Flexible Spending Accounts</li>
<li>Annual incentive plans</li>
<li>Matching gifts program</li>
<li>Education assistance through MyQuest for Education</li>
<li>Career advancement opportunities</li>
<li>and so much more!</li>
</ul><div><div><div><div>Quest Diagnostics honors our service members and encourages veterans to apply. 
 
While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual as to whom an agency has sent an unsolicited resume. 
 
Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.</div>
</div> 
</div></div>Job Responsibilities: 

<ul>
<li>Follow the laboratory's procedures for specimen handling and processing, test analyses, reporting and maintaining records of patient test result.</li>
<li>Maintain records that demonstrate that proficiency testing samples are tested in the same manner as patient specimens.</li>
<li>Analyze specimens using approved testing procedures.</li>
<li>Review and release test results.</li>
<li>Follow CLIA, HIPAA, OSHA, and safety guidelines as described in their respective guidelines.</li>
<li>Follow the laboratory's established policies and procedures whenever test systems are not within the laboratory's established acceptable levels of performance.</li>
<li>Identify problems that may adversely affect test performance or reporting of test results, correct the problems encountered or immediately notify the senior technologist or supervisor.</li>
</ul>
Education: 
BS in Medical Technology preferred; or BS/BA in Chemistry or Biology, or Associates degree in a Laboratory Science or Medical Technology, or Previously qualified as a Technologist under 42 CFR 493 


Work Experience: 
1 year Clinical experience (high complexity testing) preferred. 


MLS, Medical Laboratory Scientist, Medical Lab Scientist, Med Tech, Medical Technologist, CLS, Clinical Lab Scientist</div>

Medical Laboratory Scientist I

YO IT Consulting

<div>
 Contract
 
 
 Remote
 
 
 Role Description
 
 
 As a remote, hourly paid R Engineer, you will review AI-generated responses and generate high-quality R and data-analysis-focused content, evaluating the reasoning quality and step-by-step problem-solving behind each solution. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in statistical methodology or data-wrangling workflows; fact-check analytical results; write expert-level explanations and model solutions that demonstrate correct use of R; and rate and compare multiple AI responses based on correctness and reasoning quality. This contract role is with, a fast-growing AI Data Services company and subsidiary of that provides AI training data for many of the world&rsquo;s largest AI companies and foundation model labs, directly helping to improve the world&rsquo;s premier AI models.
 
 
 Your Profile
 
 
 <ul>
 <li>
 2+ years of hands-on experience using R for data analysis, statistics, or data science work.
 </li>
 <li>
 Strong proficiency in R programming, including data wrangling, functional programming patterns, and writing reusable functions or packages.
 </li>
 <li>
 Solid grounding in applied statistics, including regression, inference, and model validation, with practical experience implementing these methods in R.
 </li>
 <li>
 Experience building end-to-end analyses in R that include data cleaning, exploratory analysis, modeling, and visualization.
 </li>
 <li>
 Familiarity with common R ecosystems such as tidyverse, data.table, and ggplot2, and the ability to choose appropriate tools for a given task.
 </li>
 <li>
 Professional experience in a data-focused role such as data scientist, statistician, quantitative analyst, or similar.
 </li>
 <li>
 Minimum Bachelor&rsquo;s degree in Statistics, Mathematics, Computer Science, or a closely related quantitative field.
 </li>
 <li>
 Significant experience using large language models (LLMs) to assist with coding, analysis design, and code review in R.
 </li>
 <li>
 Excellent English writing skills with the ability to document analyses and explain complex statistical ideas clearly to non-experts.
 </li>
 <li>
 Previous experience with AI data training or model evaluation is strongly preferred, and Minimum C1 English proficiency is required.
 
 
 </li>
 </ul>
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
 </li>
 <li>
 Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
 </li>
 <li>
 Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.
 </li>
 </ul>
</div>

R - Programming Software Engineer

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