medical data analyst

Cohere Health

<div>Opportunity Overview:

Full-time position, in-office, Hyderabad. This position will require the candidate to engage in critical thinking skills, be intellectually curious, and demonstrate great attention to detail. Requires excellent communications skills both written and oral. Must possess the ability to work with a diverse group of talent both in-person and globally.

What you'll do:
<ul>
<li>Data Validation and Verification: Perform meticulous, line-by-line comparisons of algorithm-generated output sheets (in CSV format) against the original patient</li>
<li>Accuracy Assessment: Verify the accurate extraction of key medical data, including Vital Signs and Laboratory Tests. This includes checking the accuracy of Test Names, Test Results/Values, Units of Measurement, and associated Date/Time stamps.</li>
<li>Error Identification and Documentation: Identify and meticulously document any discrepancies, errors, or failures in data extraction where the algorithm has incorrectly or incompletely captured data from the EMR.</li>
<li>Systematically document findings in the Algorithm Output Sheet using specific columns. Set the Status (Correct/Incorrect) based on the comparison. Provide detailed error categorization in the Sub Status column</li>
<li>Specify the correct data in the Expected Test Name, Expected Test Value, Expected Unit of Measurement, and Expected Date Timestamp columns for any identified error.</li>
<li>Completeness Reporting: Report any missing medical data that was present in the EMR but was not extracted by the algorithm into the output sheet.</li>
<li>Quality Assurance Contribution: Collaborate closely with the Data Science Team by providing high-quality, actionable feedback to drive continuous improvement in algorithm performance and data extraction logic.</li>
</ul>
Required Qualifications
<ul>
<li>Proven background or strong familiarity with Electronic Medical Records (EMRs) and clinical data, such as laboratory reports, vital signs, procedures, and treatments.</li>
<li>Demonstrate commitment to accuracy and exceptional attention to detail.</li>
<li>Excellent analytical and critical thinking skills to compare complex clinical documentation against structured data formats.</li>
</ul>
Education Qualifications:
<ul>
<li>BSC Nursing, B.Pharm, Food and Nutrition, Graduation- BSC, MSC (Life sciences), MLT.</li>
<li>Knowledge of Medical Terminology, Human Anatomy and Physiology.</li>
</ul>
Ability to commute/relocate:
<ul>
<li>Nacharam, Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred)</li>
</ul>
Interview Process*:
<div>
<ul><li>Connect with the Talent Acquisition Team for a Preliminary Phone Screening</li></ul>
<ul><li>Hiring Manager Interview</li></ul>
<ul><li>Take-home assessment</li></ul>
<ul><li>Peer and/or cross-functional interview(s)</li></ul>
</div>
<ul><li>Subject to change</li></ul>

About ZignaAI, a Cohere Health Company:

Cohere Health's clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.

With the acquisition of ZignaAI, we've further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate&trade;, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we're creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health's innovations continue to receive industry wide recognition. We've been named to the 2025 Inc. 5000 list and in the Gartner&reg; Hype Cycle&trade; for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn&trade; Startup for 2023 &amp; 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can't wait to learn more about you and meet you at ZignaAI, a Cohere Health company!

Equal Opportunity Statement:

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it's personal.</div>

Medical Data Analyst I

Stanford University

The Department of Radiology at Stanford University is dedicated to excellence in clinical care, research, education, and administration. The people and programs comprising Stanford Radiology are world-renowned. Stanford Radiology's core strength lies in its people: faculty, who are highly regarded for their deep subspecialty expertise, dedication to patient care, and responsiveness to referring providers; multidisciplinary researchers who continue to push the boundaries of innovation in physics and engineering to develop cutting-edge methods for enhanced anatomic and functional imaging; staff who are dedicated and engaged in moving the mission of the department, school, and university forward.The Section of Neuroradiology is seeking a full-time Data Analyst 1 in the Zaharchuk lab which focuses on developing novel Magnetic Resonance Imaging (MRI) techniques to better understand human brain functions, delineate brain structures, and diagnose brain diseases. The data analyst will be involved in defined research projects and will be responsible for independently conducting and analyzing experiments related to neuroimaging technology to neurosciences problems, and independently carrying out analysis to completion. The data analyst is expected to interpret and analyze the results and suggest modifications to procedures as appropriate. Duties include :<ul><li>Identify and select usable data from subtle and complex data patterns. Assess and produce relevant, standard, or custom information (reports, charts, graphs and tables) from structured data sources by querying data repositories and generating the associated information. </li><li>Design methods to validate data to ensure high quality product. Explore creative approach to using data based on technical expertise of available data. Distribute reports to applicable agencies, researchers, management and other internal end-users and provide interpretation of data when needed. </li><li>Develop and produce dashboards, key performance indicators, and other recognized metrics used to monitor and report organizational performance. Collect and analyze metric data.</li><li>Collect, manage and clean datasets using an extraction and reporting programming language to ensure data integrity. </li><li>Research and reconcile data discrepancies occurring among various information systems and reports.</li><li>Collaborate with data managers to define and implement data standards and common data elements for data collection.</li><li>Identify new sources of data and methods to improve data collection, analysis and reporting.</li><li>May test prototype software and participate in approval and release process for new software.</li></ul> - Other duties may also be assigned. DESIRED QUALIFICATIONS:<ul><li>Image interpretation and manipulation using OSIRIX on Macintosh.</li><li>Ability to use image processing softwares, including Matlab, ImageJ, FSL, SPM, ITKsnap.</li><li>Ability to develop Linux-based scripts, program in Python, use of GitHub.</li><li>Experience with medical imaging datasets.</li><li>Experience with basic statistics for health sciences.</li><li>Experience with AI software frameworks, including TensorFlow, pyTorch, and Keras.</li></ul>EDUCATION & EXPERIENCE (REQUIRED):Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering.KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):<ul><li>Basic knowledge and demonstrated experience using and applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software.</li><li>Ability to collect data using a variety of methods, such as data mining and hardcopy or electronic documentation study, to improve or expand databases.</li><li>Strong listening, verbal and written communication skills.</li><li>Ability to manage multiple activities in a deadline-oriented environment; highly organized, flexible and rigorous attention to detail.</li><li>Ability to use logic to calculate data; efficiently construct a database or scrutinize the form of a question.</li><li>Ability to work with data of varying levels of quality and validity.</li><li>Demonstrated ability to produce data in a clear and understandable manner meeting user requirements. </li><li>Ability to work effectively with multiple internal and external customers.</li></ul>PHYSICAL REQUIREMENTS :<ul><li>Constantly perform desk-based computer tasks.</li><li>Frequently sit, sort, file paperwork or parts, grasp lightly, and use fine manipulation, lift, carry, push and pull objects that weigh 10 pounds or less.</li><li>Occasionally write by hand, twist, bend, stoop and squat.</li><li>Rarely stand, walk, reach or work above shoulders and use a telephone.</li></ul> - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.WORKING CONDITIONS:May work extended hours during peak business cycles.WORK STANDARDS:<ul><li>Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.</li><li>Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.</li><li>Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, .</li></ul>The expected pay range for this position is $82,468.00 to $106,256.00 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website () provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.<img src="https://www.jobg8.com/Tracking.aspx?xvPwrP8buEwDwBIroMLX3F5blZYjmtCir" width="0" height="0" />

Data Analyst 1 (1 Year Fixed Term)

County of Orangeburg

<div></div><div><div><div>The Opioid Response Data Analyst supports Orangeburg County&rsquo;s Recovery Response Team (RRT) by collecting, analyzing, and interpreting data related to opioid and polysubstance-related incidents. This position ensures accurate tracking of overdose trends, referral outcomes, and community impact while maintaining compliance with all state and federal privacy standards, including HIPAA and 42 CFR Part 2. 
 
Work is performed under the direction of Orangeburg County EMS Director with considerable leeway to exercise independent judgment within the framework of applicable rules, regulations, policies and procedures in the performance of duties, both in terms of planning and accomplishing work. Position does other related work as required. Position is funded by a temporary project source and is subject to an end date. 
 
Duties and Responsibilities: 
 
The functions listed below are those that represent most of the time spent working in this position. Management may assign additional functions related to the type of work of the position as necessary. 
 
<ul><li>Manage and maintain datasets related to EMS overdose encounters, law enforcement reports, law enforcement data, hospital outcomes, and follow-up referrals.</li><li>Develop secure data pipelines to integrate sources such as CAD, ESO, ODMAP, Central Square databases and state overdose surveillance systems.</li><li>Ensure data accuracy, completeness, and timeliness through validation, quality control, and cross-referencing.</li><li>Maintain detailed documentation of all datasets, metadata, and data flow processes.</li><li>Assist in compiling required data for state and federal reporting requirements (SCORF reports).</li><li>Perform routine analysis of overdose incidents, including geographic clustering, time-of-day trends, and demographic patterns.</li><li>Identify high-risk areas or populations for targeted outreach and prevention activities.</li><li>Analyze referral outcomes and engagement rates to assess RRT program effectiveness.</li><li>Develop predictive and situational dashboards to support rapid response and decision-making by EMS leadership and partner agencies.</li><li>Design and maintain dynamic dashboards, visual reports, and performance scorecards using Power BI, Tableau, or similar tools.</li><li>Prepare monthly and quarterly reports for EMS administration, county leadership, and state partners.</li><li>Create infographics and visual summaries for public education, community partners, and grant reporting.</li><li>Present findings at internal and external meetings, summarizing data trends in plain language for non-technical audiences.</li><li>Establish key performance indicators (KPIs) for overdose response and recovery engagement.</li><li>Evaluate the effectiveness of harm reduction and post-incident outreach initiatives.</li><li>Support the development of new interventions through evidence-based insights.</li><li>Assist with grant evaluation metrics and continuous improvement efforts.</li><li>Work collaboratively with OCEMS, Tri-County Commission on Alcohol and Drug Abuse, the Orangeburg County Sheriff Office, and behavioral health partners to exchange de-identified data.</li><li>Uphold strict confidentiality and data-handling standards in accordance with HIPAA, FOIA, and 42 CFR Part 2.</li><li>Participate in community coalitions, task force meetings, and partner workgroups as a data subject-matter expert.</li><li>Uses computer applications or other automated systems such as spreadsheets, word processing, calendar, e-mail, and case management software in performing work assignments.</li><li>Perform other duties and related work as instructed and assigned.</li></ul> 
Supervisory Functions: 
 
This job has no supervisory responsibilities. 
 
Minimum Education and Experience Requirements: 
 
<ul><li>High School diploma or GED equivalent required.</li><li>Two (2) or more years of experience in data analytics, preferably in a public health or emergency services setting.</li><li>Demonstrated ability to clean, analyze, and visualize large datasets from multiple sources.</li><li>Strong written and verbal communication skills, including experience presenting data findings to non-technical audiences.</li><li>Ability to manage sensitive information with discretion and confidentiality.</li><li>Experience with EMS charting systems and ODMAP / state overdose dashboards.</li><li>Familiarity with substance use disorder data, harm-reduction programs, or community paramedicine.</li><li>Experience in grant-funded program evaluation and federal/state reporting frameworks.</li><li>Knowledge of geospatial mapping and GIS tools for hotspot analysis.</li></ul> 
Special Certifications and Licenses: 
 
<ul><li>EMT Certification: State and National Registry</li><li>BLS, FEMA ICS 100, 200, 240, 700 and 800.</li><li>Must possess and maintain a valid South Carolina Driver&rsquo;s License.</li></ul> 
Physical Demands: 
 
Performs medium to heavy work that involves bending, stooping, reaching, twisting, climbing, balancing, kneeling, pushing, pulling, grasping walking, standing, stooping, jumping, digging and physically raising and manipulating objects of varying size, shape, weight, and material.
 
 
Position involves exerting between 20 and 50 pounds of force on a regular and recurring basis and 50 to 100 pounds of force on an occasional basis. Must be able to lift 125 pounds. This position may require walking for extended periods, treading rough and uneven terrain, and working in close proximity to motoring traffic and natural environmental hazards. May be required to work outside of normal work schedule, especially during inclement weather and/or other departmental-related emergencies. Frequently exposed to outside environment in all weather conditions, noise, and oil or grease. 
 
Unavoidable Hazards: 
 
<ul><li>Involves routine and frequent exposure to:</li></ul>
Bright/dim light; Dusts and pollen. 
Extreme heat and/or cold; Wet or humid conditions. 
Extreme noise levels, Animals/wildlife. 
Vibration; Fumes and/or noxious odors. 
Traffic; Moving machinery. 
Electrical shock; Heights. 
Radiation; Disease/pathogens. 
Toxic/caustic chemicals; Explosives; Violence. 
Other extreme hazards not listed above in Emergency Response Calls. 
 
Americans with Disabilities Act Compliance: 
 
Orangeburg County is an Equal Opportunity Employer. ADA requires Orangeburg County to provide reasonable accommodation to qualified persons with disabilities. Prospective and current employees are encouraged to discuss ADA accommodations with management.</div>
Position : 2409
Code : 526-1
Type : INTERNAL &amp; EXTERNAL
Location : EMS AMBULANCE
Group : REGULAR NO
Job Family : EMERGENCY MEDICAL SERVICES
Job Class : OPIOID RESPONSE DATA ANALYST
Posting Start : 10/24/2025
Posting End : 12/31/9999 
Salary: $29.80</div></div>

OPIOID RESPONSE DATA ANALYST

Commure

<div>At Commure, our mission is to simplify healthcare. We have bold ambitions to reimagine the healthcare experience, setting a new standard for how care is delivered and experienced across the industry. Our growing suite of AI solutions spans ambient AI clinical documentation, provider copilots, autonomous coding, revenue cycle management and more &mdash; all designed for providers &amp; administrators to focus on what matters most: providing care.
Healthcare is a $4.5 trillion industry with more than $500 billion spent annually on administrative costs, and Commure is at the heart of transforming it. We power over 500,000 clinicians across hundreds of care sites nationwide &ndash; more than $10 billion flows through our systems and we support over 100 million patient interactions. With new product launches on the horizon, expansion into additional care segments, and a bold vision to tackle healthcare's most pressing challenges, our ambition is to move from upstart innovator to the industry standard over the next few years.
Commure was recently named to Fortune&rsquo;s Future 50 list for 2025 and is backed by world-class investors including General Catalyst, Sequoia, Y Combinator, Lux, Human Capital, 8VC, Greenoaks Capital, Elad Gil, and more. Commure has achieved over 300% year-over-year growth for the past two years and this is only the beginning. Healthcare's moment for AI-powered transformation is here, and we're building the technology to power it. Come join us in shaping the future of healthcare.
About the Role
We are looking for a Data Operations Analyst that will be responsible for debugging and improving key performance metrics within the Revenue Cycle Managment (RCM), patient verification and benefits process. The ideal candidate will have a strong background in critical thinking, data analysis, and a strong understanding of U.S healthcare revenue cycles.
What You'll Do:<ul><li>
Data Verification:<ul><li>
Validate that revenue transaction reports are accurately ingested from EHR systems.</li><li>
Perform detailed data comparisons between source EHR data and ingested data</li></ul></li><li>
Quality Assurance Testing:<ul><li>
Develop and execute test plans, test cases, and test scripts for data ingestion processes.</li><li>
Identify, document, and track data discrepancies and defects.</li></ul></li><li>
Mathematical Analysis:<ul><li>
Apply basic mathematical principles to assess data accuracy and financial calculations.</li><li>
Ensure numerical data integrity in financial reports and transactions.</li></ul></li><li>
Process Improvement:<ul><li>
Collaborate with the development team to improve data ingestion processes.</li><li>
Recommend enhancements to QA methodologies and tools.</li></ul></li><li>
Documentation:<ul><li>
Maintain comprehensive documentation of QA activities, test results, data mappings, and mathematical calculations.</li><li>
Prepare reports summarizing QA findings and present them to stakeholders.</li></ul></li><li>
Cross-Functional Collaboration:<ul><li>
Work closely with IT, finance, and operations teams to ensure data integrity.</li><li>
Participate in meetings to discuss QA results and coordinate remediation efforts.</li></ul></li><li>
Compliance and Standards:<ul><li>
Ensure all data handling complies with HIPAA and other regulatory requirements.</li><li>
Stay updated on industry best practices related to data quality and EHR systems.</li></ul></li></ul>
What You Have:<ul><li>
Bachelor&rsquo;s degree in Information Systems, Computer Science, Mathematics, Healthcare Informatics, or related field.</li><li>
Minimum of 1 year of experience in quality assurance or data analysis.</li><li>
Familiarity with healthcare revenue cycle and financial reporting. Understanding of healthcare compliance standards and regulations.</li><li>
Advanced proficiency in Microsoft Excel, including advanced functions like VLOOKUP, pivot tables, macros, and data analysis tools. Experience with complex data modeling and automation is a huge plus</li><li>
Experience with data visualization tools (e.g., Tableau, Power BI).</li><li>
Strong mathematical, statistical, and analytical skills to handle financial data.</li><li>
Experience with automated testing frameworks, QA tools and methodologies</li><li>
Effectively communicate complex data insights to diverse stakeholders in a clear, understandable, and actionable way.</li><li>
Possess experience with databases, including proficiency in SQL skills, and demonstrate the ability to research and manipulate complex, large datasets.</li><li>
Willing to work in India Night Shifts &ndash; (US Day shift EST to PST time zones)</li></ul>
Commure is committed to creating and fostering a diverse team. We are open to all backgrounds and levels of experience, and believe that great people can always find a place. We are committed to providing reasonable accommodations to all applicants throughout the application process. 
Please be aware that all official communication from us will come exclusively from email addresses ending in @getathelas.com, @commure.com or @augmedix.com. Any emails from other domains are not affiliated with our organization. 
Employees will act in accordance with the organization&rsquo;s information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis.</div>

Data Operation Analyst (India), EHR QA

Stanford University is seeking a Big Data Architect 1 for a 1 year fixed term (possibility of renewal) to design and develop applications, test and build automation tools and support the development of Big Data architecture and analytical solutions.About Us: The Department of Biomedical Data Science merges the disciplines of biomedical informatics, biostatistics, computer science and advances in AI. The intersection of these disciplines is applied to precision health, leveraging data across the entire medical spectrum, including molecular, tissue, medical imaging, EHR, biosensory and population data.About the Position: We are seeking an experienced ML Data Engineer to drive the programmatic curation, cleaning, and generation of healthcare data. In this role, you will focus exclusively on developing and maintaining automated, ML-accelerated pipelines that ensure high-quality data ready for machine learning applications. Your work will be pivotal in shaping the integrity of our data and supporting downstream predictive models in a complex healthcare environment. You Will Find This Position a Good Fit If: You are passionate about transforming raw healthcare data into valuable insights. You believe in the critical role of robust data curation in advancing machine learning in healthcare. You thrive in environments where you can work independently on complex data challenges while collaborating with multidisciplinary teams. You are excited to work with patient-level data and embrace challenges related to data diversity and complexity. Duties include: Design Big Data systems that are scalable, optimized and fault-tolerant. Work closely with scientific staff, IT professional and project managers to understand their data requirements for existing and future projects involving Big Data. Develop, test, implement, and maintain database management applications. Optimize and tune the system, perform software review and maintenance to ensure that data design elements are reusable, repeatable and robust. Contribute to the development of guidelines, standards, and processes to ensure data quality, integrity and security of systems and data appropriate to risk. Participate in and/or contribute to setting strategy and standards through data architecture and implementation, leveraging Big Data, analytics tools and technologies. Work with IT and data owners to understand the types of data collected in various databases and data warehouses. Research and suggest new toolsets/methods to improve data ingestion, storage, and data access. Key Responsibilities: Data Pipeline Engineering: Design, implement, and maintain robust pipelines for the programmatic cleaning, transformation, and curation of healthcare data. Develop automated processes to curate and validate data, ensuring accuracy and compliance with healthcare standards (e.g. OMOP CDM, FHIR). ML Data Engineering: Leverage core machine learning techniques to generate datasets, clean existing health records, join heterogeneous data sources, and enhance data quality for model training. Implement innovative solutions to detect and correct data inconsistencies and anomalies in large-scale healthcare datasets. Healthcare Data Expertise: Work extensively with patient-level health data, ensuring that data handling practices adhere to industry regulations and ethical standards. Utilize the OMOP Common Data Model (OMOP CDM) to standardize and harmonize disparate healthcare data sources, enhancing interoperability and scalability. Collaboration & Continuous Improvement: Collaborate closely with data scientists, clinical informaticians, and engineers to align data engineering practices with analytical and clinical requirements. Continuously monitor, troubleshoot, and optimize data workflows to support dynamic research and operational needs.The expected pay range for this position is $157,945 to $177,385 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website () provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at . For all other inquiries, please submit a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University's research mission. DESIRED QUALIFICATIONS: 3+ years of experience in software development and data engineering with a strong focus on data cleaning, transformation, and creation. Proficiency in Python and experience with data processing libraries (e.g., Pandas, Polars, NumPy). Hands-on experience in building and maintaining automated data pipelines for large-scale data processing. Familiarity with machine learning frameworks (e.g., PyTorch, JAX, scikit-learn) as applied to data quality and augmentation tasks. Expertise in working with healthcare data, including familiarity with the OMOP Common Data Model (OMOP CDM). Strong experience in a Linux environment and comfort with UNIX command-line tools. Proven ability to work collaboratively in multidisciplinary teams and communicate technical concepts effectively. PREFERRED QUALIFICATIONS: Experience with cloud platforms (e.g., GCP, AWS, or Azure) and distributed computing frameworks. Proficiency with version control systems (e.g., Git) and containerization tools (e.g., Docker). Familiarity with healthcare data standards and regulatory requirements. EDUCATION & EXPERIENCE (REQUIRED):Bachelor's degree in scientific or analytic field and five years of relevant experience, or a combination of education and relevant experience.KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Knowledge of key data structures algorithms, and techniques pertinent to systems that support high volume, velocity, or variety datasets (including data mining, machine learning, NLP, data retrieval). • Experience with relational, NoSQL, or NewSQL database systems and data modeling, structured and unstructured. • Experience in parallel and distributed data processing techniques and platforms (MPI, Map/Reduce, Batch). • Experience in scripting languages and experience in debugging them, experience with high performance/systems languages and techniques. • Knowledge of benchmark software development and programmable fields/systems, ability to analyze systems and data pipelines and propose solutions that leverage emerging technologies. • Ability to use and integrate security controls for web applications, mobile platforms, and backend systems. • Experience deploying reliable data systems and data quality management. • Ability to research, evaluate, architect, and deploy new tools, frameworks, and patterns to build scalable Big Data platforms. • Ability to document use cases, solutions and recommendations. • Demonstrated excellence in written and verbal communication skills.CERTIFICATIONS & LICENSES:NonePHYSICAL REQUIREMENTS :• Frequently sit, grasp lightly, use fine manipulation and perform desk-based computer tasks, lift, carry, push pull objects that weigh to ten pounds. • Occasionally sit, use a telephone or write by hand. • Rarely kneel, crawl, climb, twist, bend, stoop, squat, reach or work above shoulders, sort, file paperwork or parts, operate foot and hand controls. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.<img src="https://www.jobg8.com/Tracking.aspx?qn2dWMJXE5OUYhjpmgXExjIqwGbtR5Eaq" width="0" height="0" />

ML Data Engineer - Healthcare Data Curation & Cleaning (1 Year Fixed Term)

DWS Group

<div>
 
 Position Overview
 
 
 
 
 Job Title &ndash; Python Developer, SA
 
 
 
 
 Location &ndash; Banglore, India
 
 
 
 
 Role Description
 
 
 
 Today, markets face a whole new set of pressures &ndash; but also a whole lot of opportunity too. Opportunity to innovate differently. An opportunity to make change.
 
 
 Join us at DWS, and you can be part of an Asset management Industry firm with a global presence. You can lead ambitious opportunities and shape the future of investing. You can support our clients, local communities, and the environment.
 
 
 We&rsquo;re looking for creative thinkers and innovators to join us as the world continues to transform. As whole markets change, one thing remains clear; our people always work together to capture the opportunities of tomorrow. That&rsquo;s why we are &lsquo;Investors for a new now&rsquo;.
 
 
 As investors on behalf of our clients, it is our role to find investment solutions. Ensuring the best possible foundation for our clients&rsquo; financial future. And in return, we&rsquo;ll give you the support and platform to develop new skills, make an impact and work alongside some of the industry&rsquo;s greatest thought leaders. This is your chance to achieve your goals and lead an extraordinary career.
 
 
 This is your chance to invest in your future.
 
 
 The COO Division is a key enabler for DWS and is integral to the future success of the company by delivering world-class services across a set of key functions. It covers essential Technology and Operations capabilities, including our data programs and digital transformation. The COO aims to deliver a platform which is efficient, scalable, resilient and agile.
 
 
 Within the COO Division Data Management is responsible for designing and driving the execution of the data strategy at Group and Divisional/functional level as well as coordinating adherence to Data related processes and policies and any applicable local regulations.
 
 
 
 What We&rsquo;ll Offer You
 
 
 
 As part of our flexible scheme, here are just some of the benefits that you&rsquo;ll enjoy
 
 
 <ul>
 <li>
 Best in class leave policy
 </li>
 <li>
 Gender neutral parental leaves
 </li>
 <li>
 100% reimbursement under childcare assistance benefit (gender neutral)
 </li>
 <li>
 Sponsorship for Industry relevant certifications and education
 </li>
 <li>
 Employee Assistance Program for you and your family members
 </li>
 <li>
 Comprehensive Hospitalization Insurance for you and your dependents
 </li>
 <li>
 Accident and Term life Insurance
 </li>
 <li>
 Complementary Health screening for 35 yrs. and above
 
 
 
 </li>
 </ul>
 
 Your Key Responsibilities
 
 
 
 As an Automation expert (Data Quality), you will:
 
 
 <ul>
 <li>
 Prepare python-based scripts to perform ETL.
 </li>
 <li>
 Identify and address data quality issues to minimize impact on business operations, by collaborating with relevant teams to implement immediate corrective actions.
 </li>
 <li>
 Monitor scripts and systems continuously to detect and resolve anomalies in real-time and ensuring data integrity.
 </li>
 <li>
 Document incidents and responses to improve future emergency handling. Develop and maintain protocols for rapid response to data quality emergencies.
 </li>
 <li>
 Conduct RCA and identify opportunities to optimize data management processes.
 </li>
 <li>
 Recommend and implement process improvements to prevent recurrence of data issues. Provide training and support to teams on best practices for data management.
 </li>
 <li>
 Develop, validate, and monitor new ETL pipelines for the existing processes to enhance data quality and accessibility.
 
 
 
 </li>
 </ul>
 
 Your Skills And Experience
 
 
 
 <ul>
 <li>
 Strong knowledge of quality and sanity checks with hands on experience in Python scripting, SQL, or other relevant programming languages.
 </li>
 <li>
 Ability to analyze complex data sets and identify patterns and anomalies. Strong problem-solving skills to address data quality issues effectively.
 </li>
 <li>
 Precis writing for documenting recurring data quality issues, their findings and remediation.
 </li>
 <li>
 Strong analytical and problem-solving skills, with an ability to develop long-term tactical solutions.
 </li>
 <li>
 Ability to handle multiple priorities and projects in parallel.
 </li>
 <li>
 Experience working with financial data is a plus.
 
 
 
 </li>
 </ul>
 
 Eligible criteria
 
 
 
 <ul>
 <li>
 Education related discipline is Engineering such as computer science or related.
 </li>
 <li>
 Should not be involved in Other Business Activities related to financial support.
 </li>
 <li>
 Should not hold any portfolio managing or any similar license.
 </li>
 <li>
 2+ years of Work-ex.
 
 
 
 </li>
 </ul>
 
 How We&rsquo;ll Support You
 
 
 
 <ul>
 <li>
 Training and development to help you excel in your career.
 </li>
 <li>
 Coaching and support from experts in your team.
 </li>
 <li>
 A culture of continuous learning to aid progression.
 </li>
 <li>
 A range of flexible benefits that you can tailor to suit your needs.
 
 
 
 </li>
 </ul>
 
 About Us And Our Teams
 
 
 
 Please visit our company website for further information:
 
 
 
 https://www.db.com/company/company.htm
 
 
 
 We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.
 
 
 Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
 
 
 We welcome applications from all people and promote a positive, fair and inclusive work environment.
</div>

Data Analyst (SWAT) - NCT

Star Laboratories (Pvt.) Ltd.

Key Responsibilities:<ul><li>Collect, clean, and organize data from multiple sources.</li><li>Analyze datasets using Excel formulas, pivot tables, and charts.</li><li>Prepare and maintain detailed reports and dashboards.</li><li>Identify data trends and present insights to management.</li><li>Maintain accurate documentation and reports using Microsoft Word.</li><li>Coordinate with different departments for data-related requirements.</li><li>Ensure data accuracy and confidentiality at all times.</li></ul>Requirements:<ul><li>Female candidate, age between 23&ndash;27 years.</li><li>Bachelor&rsquo;s degree in Pharm-D</li><li>Proficient in Microsoft Excel and Word (advanced Excel skills preferred).</li><li>Strong attention to detail and analytical mindset.</li><li>Good written and verbal communication skills.</li><li>Ability to work independently and meet deadlines.</li></ul>Job Type: Full-timePay: Rs55,000.00 - Rs65,000.00 per monthWork Location: On the road

Data Analyst (Female with Pharmacy Degree)

Search 10000+ Medical data analyst jobs near you this October. New roles added regularly across leading industries. Apply today.