ai computational data scientist Jobs in Houston

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business analyst/ai execution

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data scientist molecular modeling Jobs in Houston

data scientist molecular modeling

financial analyst

data scientist

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

MD Anderson Cancer Center

<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

<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

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

<div>
 Position Description
 
 
 CGI's Houston Consulting team is building the next wave of data, analytics, and AI-enabled transformation services for clients across industries. We are seeking a Data &amp; AI Analyst who thrives in ambiguous problem spaces, learns fast, and enjoys wearing multiple hats, delivery contributor, analyst, prototype builder, and practice builder.
 
 
 You will work closely with senior leaders to help deliver client outcomes and accelerate the growth of our Houston consulting footprint through thought leadership, community building, and repeatable internal assets.
 
 
 This position is located in our Houston, Texas office(hybrid working model is acceptable)
 
 
 Your future duties and responsibilities:
 
 
 Client Delivery (primary):
 
 
 <ul>
 <li>
 Support delivery across the data lifecycle: data governance, data engineering, data integration, analytics/BI, and data platform modernization (cloud/on-prem/hybrid).
 </li>
 <li>
 Build and test applied AI solutions and proofs of value (GenAI prototypes, ML experiments, agentic workflow concepts), including prompt design, evaluation approaches, and basic model risk considerations.
 </li>
 <li>
 Develop client-ready outputs: problem statements, hypotheses, workflow maps, requirements backlogs, KPI definitions, and executive-ready slides.
 </li>
 <li>
 Contribute to solution design by translating business needs into technical approaches (data flows, logical architectures, integration patterns).
 
 
 </li>
 </ul>
 Practice Acceleration (growth):
 
 
 <ul>
 <li>
 Co-author thought leadership (blogs, POVs, conference abstracts) and support the creation of client-facing materials.
 </li>
 <li>
 Help organize and run Houston-based community activities: meetups, roundtables, campus engagements, and partner events.
 </li>
 <li>
 Support proposal development: research, benchmarking, storylines, and draft sections.
 
 
 </li>
 </ul>
 Practice Operations (enablement):
 
 
 <ul>
 <li>
 Support internal operations including drafting SOW components, maintaining templates, organizing knowledge assets, and supporting invoicing / project hygiene activities.
 
 
 </li>
 </ul>
 Required qualifications to be successful in this role:
 
 
 <ul>
 <li>
 Houston-based (or willing to relocate) with the ability to work in a hybrid client/office environment.
 </li>
 <li>
 Bachelor's degree in a relevant field (Computer Science, Engineering, Information Systems, Statistics, Math, Industrial Engineering, Business Analytics, etc.).
 </li>
 <li>
 Demonstrated foundation in data + analytics: SQL proficiency and comfort working with structured datasets At least one programming language (Python strongly preferred) Familiarity with basic data modeling, ETL/ELT concepts, and visualization fundamentals
 </li>
 <li>
 Exposure to AI/ML or GenAI through coursework, projects, research, internships, or a portfolio (not necessarily deep industry experience).
 </li>
 <li>
 Strong written and verbal communication (you can explain technical concepts to non-technical stakeholders).
 </li>
 <li>
 Evidence of fast learning: cross-domain projects, research breadth, competitions, leadership roles, startups, or rapid upskilling.
 
 
 </li>
 </ul>
 Preferred qualifications:
 
 
 <ul>
 <li>
 Master's degree; MBA/PhD a plus (or in-progress).
 </li>
 <li>
 Any of: cloud fundamentals (AWS/Azure/GCP), Databricks/Snowflake, MLOps basics, or data governance frameworks.
 </li>
 <li>
 Experience design / design thinking, product management exposure, or customer journey / service design work.
 </li>
 <li>
 Public speaking interest (student org leadership, teaching assistant roles, meetup talks).
 
 
 </li>
 </ul>
 Other Information:
 
 
 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 $51,600.00 - $121,100.00.
 
 
 CGI's benefits are offered to eligible professionals on their first day of employment to include:
 
 
 <ul>
 <li>
 Competitive compensation
 </li>
 <li>
 Comprehensive insurance options
 </li>
 <li>
 Matching contributions through the 401(k) plan and the share purchase plan
 </li>
 <li>
 Paid time off for vacation, holidays, and sick time
 </li>
 <li>
 Paid parental leave
 </li>
 <li>
 Learning opportunities and tuition assistance
 </li>
 <li>
 Wellness and Well-being programs
 
 
 </li>
 </ul>
 Your future duties and responsibilities
 
 
 
 Required Qualifications To Be Successful In This Role
 
 
 
 
 Together, as owners, let&rsquo;s turn meaningful insights into action.
 
 
 
 Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you&rsquo;ll reach your full potential because&hellip;
 
 
 You are invited to be an owner from day 1 as we work together to bring our Dream to life. That&rsquo;s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company&rsquo;s strategy and direction.
 
 
 Your work creates value. You&rsquo;ll 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.
 
 
 You&rsquo;ll shape your career by joining a company built to grow and last. You&rsquo;ll 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.
 
 
 Come join our team&mdash;one of the largest IT and business consulting services firms in the world.
 
 
 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.
 
 
 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.
 
 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.
 
 
 
 We make it easy to translate military experience and skills! Click here to be directed to our site that is dedicated to veterans and transitioning service members.
 
 
 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.
 
 
 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 CGI&rsquo;s legal duty to furnish information.
 
 
</div>

Data & AI Analyst

Crescent Energy

<div>Crescent is a differentiated U.S. energy company committed to delivering value through a disciplined, returns-driven growth through acquisition strategy and consistent return of capital. Our long-life, balanced portfolio combines stable cash flows from low-decline production with a deep, high-quality development inventory.
Crescent is a top three producer (by gross operated production) in the Eagle Ford basin. Crescent&rsquo;s leadership is an experienced team of investment, financial and industry professionals that combines proven investment and operating expertise . For more than a decade, Crescent and our predecessors have executed on a consistent strategy focused on cash flow, risk management and returns. Through disciplined and accretive investments, we have successfully tripled the size of our company since going public in December 2021 while maintaining a strong balance sheet.
The Sr. Data Engineer- Upstream Oil &amp; Gas is responsible for designing, building, and operating scalable, reliable, and secure data pipelines that support enterprise analytics, reporting, and advanced data use cases. This role is critical to enabling data-driven decision-making by ensuring trusted, high-quality data is available across operational, engineering, financial, and HSE domains.
This position requires hands-on experience in upstream oil and gas and proven expertise working with enterprise-scale cloud data platforms, with Snowflake (or comparable platforms) as a core prerequisite. The Data Engineer will play a key role in advancing the company&rsquo;s cloud-based data platform and accelerating its journey toward becoming a data-driven, technology-enabled enterprise.
<div></div>Key Responsibilities:
<ul><li>Data Engineering &amp; Pipeline Development
<ul><li>Design, build, and maintain scalable, fault-tolerant ETL/ELT pipelines supporting structured and semi-structured data across upstream operational, engineering, financial, and ESG domains.
</li><li>Develop and operate data ingestion pipelines using Fivetran (or similar tools), including connector configuration, schema management, and change data capture (CDC) patterns.
</li><li>Engineer and maintain data pipelines within the Snowflake environment, ensuring reliability, performance, and cost efficiency.
</li><li>Monitor, troubleshoot, and remediate data pipeline failures, latency issues, and data inconsistencies in production environments.
</li><li>Implement logging, alerting, and basic observability for data pipelines to support operational reliability.
</li></ul></li></ul><ul><li>Data Transformation &amp; Medallion Architecture
<ul><li>Implement data transformations using dbt, applying modular, testable, and version-controlled transformation logic.
</li><li>Develop and maintain datasets aligned to a medallion architecture ensuring clear separation between raw, refined, and analytics-ready data layers.
</li><li>Apply data modeling best practices (dimensional, star schema, domain-oriented models) to support analytics and reporting use cases.
</li><li>Maintain documentation and tests within dbt to improve data transparency, lineage, and maintainability.
</li></ul></li></ul><ul><li>Analytics &amp; Reporting Enablement
<ul><li>Design and deliver standardized, production-grade dashboards and reports using Power BI and Spotfire.
</li><li>Work with business users to define KPIs, metrics, and reporting requirements, translating them into governed, scalable data models.
</li><li>Transition ad-hoc and spreadsheet-based reporting into certified, reusable analytics assets.
</li><li>Support semantic models and curated datasets that enable consistent, performant reporting across teams.
</li></ul></li></ul><ul><li>Data Quality, Governance &amp; Reliability
<ul><li>Implement automated data quality checks, validations, and reconciliation processes within data pipelines.
</li><li>Publish and maintain certified datasets and analytics-ready tables to support self-service consumption.
</li><li>Enforce metric consistency by aligning transformations and reporting logic to approved definitions and standards.
</li><li>Apply CI/CD, version control, and testing practices to data pipelines and dbt projects.
</li></ul></li></ul><ul><li>Business Partnership &amp; Enablement
<ul><li>Work directly with business analysts, operations users, and reporting consumers to clarify data requirements and troubleshoot issues.
</li><li>Support day-to-day data needs by delivering reliable datasets and reports aligned to defined standards and priorities.
</li><li>Provide technical input into data solutions while following established architecture, governance, and platform guidelines.
</li><li>Assist in onboarding users to certified datasets and reports, helping reduce dependency on ad-hoc data extracts.
</li></ul></li></ul><div></div>Qualifications &amp; Experience:
<ul><li>Education:
<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, Information Systems, or related field.
</li></ul></li><li>Technical Skills &amp; Experience:
<ul><li>5+ years data engineering/analytics experience.
</li><li>Experience with Power BI and Spotfire.
</li><li>Advanced SQL, dbt, Snowflake. Familiarity with medallion architecture CI/CD, and Git.
</li><li>Industry experience in upstream oil and gas is required, ideally with exposure to drilling, production operations, reserves, and regulatory reporting is required.
</li><li>Proven experience deploying and managing cloud data platforms with Snowflake expertise is essential.
</li><li>Willing to work on-site in our downtown office Monday-Friday
</li></ul></li><li>Skills &amp; Competencies:
<ul><li>Strong understanding of oil and gas data domains (e.g., wells, completions, SCADA, production volumes, reserves, HSE).
</li><li>Expertise in data modeling, data integration (ETL/ELT), cataloging, lineage tracking, and security best practices.
</li></ul></li></ul>Work Environment &amp; Physical Requirements:
<ul><li>Primarily office-based with occasional travel to field offices and operational sites as needed.
</li><li>Potential exposure to remote and high-risk environments, requiring adherence to safety protocols.
</li><li>May involve walking, climbing, bending, or handling equipment during site visits.
</li><li>Possible exposure to varying weather conditions (heat, cold, rain) while on-site at the field offices.
</li><li>Availability for emergency response and incident management, including after-hours support when required.
</li></ul>Crescent Energy is an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, gender/pregnancy, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status or any other legally protected status. Crescent Energy is also committed to compliance with all fair employment practices regarding citizenship and immigration status. If you require accommodation to complete the application process, please let us know by contacting recruitment@crescentenergyco.com .</div>

Senior Data Engineer – Upstream Oil & Gas

Baylor College of Medicine

<div><div><div><div><h2 class="jobSectionHeader">Summary</h2></div><div>
The Department of Neurosurgery at Baylor College of Medicine, in partnership with Texas Children&rsquo;s Hospital, is seeking a Research Coordinator I. This role involves managing day-to-day study activities, including participant screening, enrollment, monitoring, data management, and coordinating study visits. The initial appointment is one year, with potential renewal based on funding and performance. The coordinator will support research projects investigating speech perception and production in the brain.</div></div><div><div><h2 class="jobSectionHeader">
Job Duties</h2></div><div><div>
Patient Recruitment, Data Collection &amp; Follow-Up - 40% 
<ul><li>Interview, screen, and recruit patients for research studies; explain study purpose, processes, and procedures.</li><li>Conduct participant follow-up and correspondence throughout the study.</li><li>Run experiments and collect human neurophysiology data, including recordings in the Epilepsy Monitoring Unit (EMU) at Texas Children&rsquo;s Hospital.</li></ul></div><div> 
Study Execution &amp; Data Management - 35% 
<ul><li>Process documents and enter data into research databases.</li><li>Curate and manage data for transfer to collaborators at The University of Texas at Austin.</li><li>Maintain research records, regulatory documents, and study files.</li></ul></div><div> 
Lab &amp; Regulatory Management - 25% 
<ul><li>Manage IRB documentation and ensure compliance with study protocols.</li><li>Order and maintain lab supplies and equipment.</li><li>Support general lab operations and administrative functions.</li><li>Perform other duties as assigned.</li></ul></div></div></div><div><div><h2 class="jobSectionHeader">
Minimum Qualifications</h2></div><div><ul><li>
High School diploma or GED.</li><li>
Three years of relevant experience.</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Preferred Qualifications</h2></div><div><ul><li>
Bachelors in neuroscience or cognitive science, engineering, or related fields. No experience required with preferred degree.</li><li>
Prior research experience in neuroscience, physiology, psychology, or related areas.</li><li>
Strong technical skills.</li><li>
Must be strongly detail-oriented and organized.</li><li>
Knowledge of data collection for electrophysiology (scalp EEG or intracranial EEG preferred, but other electrophysiology experience also appreciated).</li><li>
Pediatric experience.</li><li>
Music or sound engineering experience.</li><li>
Programming exerience (python, MATLAB, or swift).</li></ul></div></div></div> 
Work Authorization Requirement:
This position is not eligible for visa sponsorship. Candidates must be legally authorized to work in the United States at the time of application and throughout the duration of employment. 
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.</div>

Research Coordinator I - TCH Neurosurgery

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