research data analyst

State of Missouri

<div>Job Summary - Why you&rsquo;ll love this position
<p><b>Job Location:</b> This position will be located at 930 Wildwood Dr, Jefferson City, MO 65109.</p>
<p><b>Why you&rsquo;ll love this position:</b></p>
<p>Are you passionate about turning data into insights that drive better health outcomes? Join our team as an Associate Research/Data Analyst in the Missouri Department of Health &amp; Senior Services (DHSS) Office of Epidemiology! In this role, you&rsquo;ll support both the Dental Health Program and the Public Health Infrastructure Grant (PHIG) evaluation, working on projects that improve access to care and strengthen public health systems statewide.</p>
<p>You&rsquo;ll thrive here if you enjoy:</p>
<ul><li>Analyzing and interpreting data to uncover trends and inform decision-making.</li></ul>
<ul><li>Creating clear, actionable reports that help program managers improve oral and overall health.</li></ul>
<ul><li>Working in a fast-paced, collaborative environment with flexibility and opportunities to learn.</li></ul>
<ul><li>Contributing to meaningful public health initiatives that make a real difference for Missourians.</li></ul>
<p>If you&rsquo;re quantitative, analytical, and excited about using data to improve health, this position offers the perfect blend of challenge, impact, and professional growth.</p>
<p><i>The salary indicated represents a base pay rate. If the individual selected or the position is eligible for a pay differential (e.g., shift, security, or years of service), it will be added to the total compensation in your paycheck. A pay differential does not raise your base pay.</i></p>
Responsibilities - What you&rsquo;ll do
<ul><li>Collect, clean, and manage data from multiple sources to ensure accuracy and reliability for program evaluation and reporting.
</li><li>Analyze quantitative and qualitative data to identify trends, patterns, and insights that inform public health strategies.</li>
<li>Develop and maintain dashboards, reports, and visualizations to communicate findings clearly to program managers and stakeholders.</li>
<li>Collaborate with program teams to understand data needs and provide actionable recommendations for improving health outcomes.
</li><li>Contribute to continuous improvement efforts by identifying opportunities to streamline data processes and enhance analytic capabilities.</li>
</ul>Qualifications - All you need for success <b>Minimum Qualifications:</b>
<ul><li>Bachelor&rsquo;s Degree in public health, data science, statistics, or a related field</li>
<li>0-2 years relevant job experience
</li><li>Ability to work perform basic queries and analyze data</li>
<li>Knowledge of basic research methods &amp; analysis
</li><li>Experience with Tableau helpful, but not required</li>
</ul><p><b><i>Lack of post‐secondary education will not be used as the sole basis denying consideration to any applicant.</i></b></p>
Job Details - More reasons to love this position
<p>The State of Missouri offers an excellent benefits package that includes a defined pension plan, generous amounts of leave and holiday time, and eligibility for health insurance coverage. Your total compensation is more than the dollars you receive in your paycheck. To help demonstrate the value of working for the State of Missouri, we have created an interactive Total Compensation Calculator. This tool provides a comprehensive view of benefits and more that are offered to prospective employees. The Total Compensation Calculator and other applicant resources can be found here.</p>
Contact Details - If you have questions or require any accommodations to participate in the application or interview process please contact:
<p>Joseline Hernandez, joseline.hernandez@health.mo.gov, 573-751-9912
</p>The State of Missouri is an equal opportunity employer and is committed to developing and maintaining a talented workforce.</div>

Associate Research/Data Analyst (4214079)

Stanford University

<div><p>The Department of Biomedical Data Science at Stanford University, a premier research-intensive intuition is actively recruiting for a dynamic candidate to serve as a Bioinformatician at 100% FTE in the Julia Salzman lab. The Salzman lab uses experimental and statistical tools to construct a high dimensional picture of human, plant and microbial genome and gene regulation statistical analysis of metagenomes, metatranscriptomes and consortia in a new area of research for the laboratory. Duties will focus on running new algorithms developed in the group. For more information on past work, please visit the lab website here: (http://med.stanford.edu/salzmanlab.html).</p><p><br>
The Bioinformatician will work in a highly collaborative environment, carry out data analysis and integration, and apply best-in-class algorithms &ndash; or develop new algorithms &ndash; that directly address the motivating biological questions. Further, the Bioinformatician will develop reproducible and well-documented analytical pipelines for the analysis of high-throughput data, such as novel analysis of DNA-seq and RNA-seq from metagenomics and transcriptomics. Proficiency in high-throughput genomic data analysis and a good understanding of biological systems are required, as are experience in programming and a solid background in statistical analysis. Excellent interpersonal skills and the ability to interact effectively with members of the research teams are essential to the success of the individual in this position. The successful candidate must be able to learn and work independently, yet collaborate effectively with co-workers.<br>
Duties include:</p><ul><li>Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness.</li><li>Determine additional data collection and reporting requirements.</li><li>Design and customize reports based upon data in the database.</li><li>Oversee and monitor regulatory compliance for utilization of the data.</li><li>Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others.</li><li>Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation.</li><li>Serve as a resource for non-routine inquiries such as requests for statistics or surveys.</li><li>Test prototype software and participate in approval and release process for new software.</li><li><i>- Other duties may also be assigned</i></li></ul><p><i>
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.</i></p><p>
The expected pay range for this position is $108,002 to $128,138 per annum.</p><p>
Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire. 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.</p><p>
The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford&rsquo;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.</p><p>
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 stanfordelr@stanford.edu. For all other inquiries, please submit a contact form.</p><p><i>
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.</i></p><br>
<div><p><b>DESIRED QUALIFICATIONS:</b></p><ul><li>Four-year college degree in bioinformatics, biostatistics, computational biology, computer science, or similar, with a strong publication record.</li><li>Alternatively, a PhD in one of the aforementioned fields (or similar) combined with a very strong record of data analysis.</li><li>Working knowledge and a solid understanding of biological principles, metagenomics, bioinformatics terminology, and common sequence alignment programs (eg. Bowtie).</li><li>An understanding of the statistical principles behind current best practices in high-throughput molecular data analysis.</li><li>Strong experience in the use of a high-level programming language such as R, MATLAB, Python or Perl for complex data analysis.</li><li>Ability to generate novel pipelines to analyze unique types of data.</li><li>Proficiency with Unix systems and queuing systems (e.g. SLURM).</li><li>Familiarity with reproducible computing research paradigms including Docker.</li></ul><p><b><br>
EDUCATION &amp; EXPERIENCE (REQUIRED):</b></p><ul><li>Bachelor's degree and three years of relevant experience or combination of education and relevant experience.</li><li>Experience in a quantitative discipline such as economics, finance, statistics or engineering.</li></ul><div><b>
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):</b><br>
<ul><li>Substantial experience with shell, command line and analytical programs.</li><li>Excellent writing and analytical skills.</li><li>Ability to prioritize workload.</li></ul></div><p><b>
CERTIFICATIONS &amp; LICENSES:</b></p><p>
None</p><p><b><br>
PHYSICAL REQUIREMENTS*:</b></p><ul><li>Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.</li><li>Occasionally use a telephone.</li><li>Rarely writing by hand.</li><li><i>- 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.</i></li></ul><p><b>
WORKING CONDITIONS:</b></p><ul><li>Some work may be performed in a laboratory or field setting.</li></ul></div></div>

Research Data Analyst 2

Obviant

<div>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We're looking for a Research &amp; Data Analyst to expand our core data platform. You'll be responsible for identifying, evaluating, and integrating new data sources and content into our platform&mdash;ensuring data is clean, structured, and ready to power analytics, context, and automation. This role combines deep research and analytical rigor with hands-on data work, requiring someone who can bridge business needs with technical execution.
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Identify and Onboard New Data Sources: Lead exhaustive research to identify, evaluate, and obtain new OSINT sources. Establish and maintain relationships with third-party data providers to continuously expand platform capabilities.
  </li>
  <li>
   Perform Strategic Research and Analysis: Conduct exhaustive research and advanced analysis, including writing SQL for quantitative conclusions and leading the qualitative analysis of unstructured sources (e.g., program documents) to extract nuance, intent, and context. This work establishes analytical frameworks, enables evidence-based decisions, and sets the foundation for all product features.
  </li>
  <li>
   Clean and Structure Data for Production: Profile, validate, and work with engineering to transform raw, complex data into standardized formats that integrate seamlessly with our existing infrastructure and support automation.
  </li>
  <li>
   Build and Maintain Data Workflows: Create and document repeatable processes for efficient data ingestion, comprehensive quality checks, and maintenance, ensuring the system can scale.
  </li>
  <li>
   Create and Maintain a Data Audit Structure: Design and implement robust data checks within existing frameworks, performing cross-source comparisons to ensure absolute accuracy and data integrity.
  </li>
  <li>
   Collaborate Across Teams: Serve as the go-to data domain expert, working closely with Product, Engineering, and Customer Success to translate customer needs into robust data solutions and inform the product roadmap. This includes creating quick-turnaround dashboards to test insights with real users before productization.
  </li>
  <li>
   Document data assets &mdash; Create and maintain data dictionaries, lineage documentation, and process guides that enable teams to understand and use data effectively
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2-4 years of experience working with data in a research, analyst,, or business intelligence role
  </li>
  <li>
   Strong SQL skills &mdash; Comfortable writing queries to join, filter, aggregate, and analyze data across multiple tables and sources
  </li>
  <li>
   Data quality mindset &mdash; Track record of cleaning messy datasets, identifying data issues, and implementing validation checks
  </li>
  <li>
   Problem-solving ability &mdash; Can navigate ambiguous situations, diagnose root causes, and develop practical solutions
  </li>
  <li>
   Clear communicator &mdash; Able to explain technical concepts to non-technical audiences and document processes clearly
  </li>
  <li>
   Basic scripting knowledge &mdash; Familiarity with Python, R, or similar tools for data manipulation is a plus but not required
  </li>
  <li>
   Ability to obtain and maintain a TS/SCI security clearance
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with BI tools &mdash; Hands-on use of Hex, Tableau, Looker, Power BI, or similar platforms to build dashboards and reports
  </li>
  <li>
   Experience working with APIs or data integration platforms
  </li>
  <li>
   Exposure to data warehouses (Snowflake, BigQuery, Redshift) or modern data stacks
  </li>
  <li>
   Background in defense, govtech, or industries with complex data environments
  </li>
  <li>
   Familiarity with data governance or master data management concepts
   <br/>
   <br/>
  </li>
 </ul>
 Compensation Range: $70K - $95K
 <br/>
 <br/>
</div>


Research and Data Analyst

Charterhouse Middle East

<div>
 <p>
  <strong>
   AED 15,000 - 20,000 Per Month
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Charterhouse is working on behalf of a pioneering research and innovation hub that is redefining education. This organization integrates nature, culture, inquiry, and innovation to create transformative learning environments. Its dedicated research arm focuses on designing, prototyping, and evaluating new educational approaches, using data-driven insights to shape the future of learning. Our client is looking to hire a Data Analyst, which will play a critical role in generating real-time insights into learner growth, pilot projects, and system impact.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Data Analyst designs and manages data systems, analyze research outcomes, and produce evidence-based reports that inform strategic decisions. Working as a Data Analyst, the role involves developing and maintaining data frameworks, tools, and dashboards for research and pilot projects while ensuring accurate, timely, and ethical collection and management of quantitative and qualitative data.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Responsibilities includes conducting statistical analysis, identifying patterns, and translating findings into actionable insights. The role will also prepare clear visualizations and reports for leadership, internal teams, and stakeholders. Collaboration with educators, researchers, and external partners will be essential to integrate data into innovation processes. The role will further support evaluation of pilot projects, including baseline measures and impact assessments, while staying current with best practices in educational data analytics and learning sciences.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The ideal Data Analyst will hold a Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Education, Psychology, or a related field. The candidate should have two to four years of experience in data analysis, preferably within education, social sciences, or innovation sectors. Strong proficiency in data analysis tools such as Excel, R, Python, or SPSS is required, along with experience using dashboard and visualization tools like Tableau or Power BI. Demonstrating the ability to communicate complex data insights to non-technical audiences and possess knowledge of ethical data collection and safeguarding practices are essential for the role.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Our client requires an analytical and creative thinker with strong critical reasoning skills. Excellent communication and collaboration abilities are essential, as is adaptability to evolving questions and iterative projects. Integrity and commitment to ethical data practices are fundamental to this role. This position is ideal for someone who sees data not just as numbers, but as a powerful storytelling tool to drive innovation.
 </p>
</div>


Data Analyst

University of Miami

<div><p><b>Current Employees:
</b></p><p>If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position, please review this tip sheet .
</p><p></p><p>The University of Miami/UHealth Department of Public Health has an exciting opportunity for a full time Data Analyst 1 to work in Miami, FL.
</p><p></p><p>The Data Analyst 1 performs basic data analysis using various techniques. This role assists with maintaining databases and dashboards to support the department&rsquo;s planning needs, goals, and objectives. Key responsibilities include generating reports and analyzes data for internal planning processes and reporting purposes. This role also analyzes data to ensure accuracy and reports any issues to management. Interact with potential and current study participants, including recruitment, request of consent for participation, interview and implementation of social network interventions.
</p><p></p><p><b>Core Responsibilities:
</b></p><ul><li>Performs basic data analysis using various techniques, e.g. statistical analysis, explanatory and predictive modeling, data mining.
</li><li>Researches best practices and supports developing the solutions and recommendations for the current business operations.
</li><li>Generates reports and analyzes data for internal planning processes and reporting purposes.
</li><li>Maintains databases and dashboards to support the department&rsquo;s planning needs, goals, and objectives.
</li><li>Provides basic business data interpretation, such as identifying trends or patterns of data sets.
</li><li>Analyzes information in reports to support the department's planning, needs, goals, and objectives.
</li><li>Analyzes data to ensure accuracy and reports any issues to management.
</li><li>Adheres to University and unit-level policies and procedures and safeguards University assets.
</li></ul><p></p><p><b>Department specific functions
</b></p><p></p><ul><li>Gathering, cleaning, and organizing data from various sources (REDCap, Qualtrics, spreadsheets)
</li><li>Perform statistical analysis to provide insight on data related manners.
</li><li>Assistant in maintaining data quality and data assurance by maintaining, building, and creating code scripts.
</li><li>Using tools like Python or R for data manipulation.
</li><li>Familiarity with tools like Git/Github for versioning code.
</li><li>Assist in maintaining dashboards for presenting, visualizing, and monitoring incoming data from various projects.
</li><li>Ability and having working knowledge of reproducibility.
</li><li>Create and maintain various reports on end-to-end reproducible analysis and workflow.
</li><li>Interest and some working knowledge on social network mechanism through a public health lens
</li><li>Assist senior data analyst in preparing reports on social network related studies.
</li><li>Participate in team meetings and provide updates on study progress, issues, and outcomes.
</li><li>Effectively communicate with research team about data queries.
</li><li>Administer the various on-going project protocols (assessment/surveys).
</li><li>Ability and cultural competence in working with diverse, multiracial populations in South Florida.
</li><li>Contact and interacting with projects participants in-person, via Zoom and over the phone.
</li><li>Assistant project manager with duties regarding active on-going protocol data collection.
</li><li>Ability to communicate effectively both in oral and written form.
</li><li>Ability to work independently and in a collaborative environment.
</li><li>Detailed orientated to ensure data work accuracy and quality.
</li><li>Interact with potential and current study participants, including recruitment, request of consent for participation, interview and implementation of social network interventions.
</li></ul><p></p><p>Work Conditions:
</p><ul><li>Must be able to work flexible hours depending on study needs. Flexible hours may include evening and weekend activities. Remote work is not allowed.
</li><li>Must possess a current, valid Florida driver&rsquo;s license.
</li><li>Must have reliable own transportation and be willing to use personal transportation for work purposes.
</li><li>Local travel throughout South Florida will be required.
</li></ul><p></p><p><b><i>This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary.
</i></b></p><p></p><p><b>Core Qualifications:
</b></p><ul><li>Bachelor's degree
</li><li>Minimum 1 year of relevant work experience
</li><li>Knowledge of clinical research protocols and IRB processes is preferred
</li><li>Bilingual (English &amp; Spanish) is required.
</li><li>Ability to work independently and as part of a collaborative team.
</li><li>Strong organizational, communication, and interpersonal skills.
</li><li>Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt to changing priorities and work demands.
</li><li>Teamwork: Ability to work collaboratively with others and contribute to a team environment.
</li><li>Technical Proficiency: Skilled in using office software, technology, and relevant computer applications.
</li><li>Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders.
</li><li><b><i>Any relevant education, certifications and/or work experience may be considered.
</i></b></li></ul><p>The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more.
</p><p></p><p>UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for.
</p><p></p><p>The University of Miami is an Equal Opportunity Employer. Applicants and employees are protected from discrimination based on certain categories protected by Federal law.
</p><p></p><p><b>Job Status:
</b></p>Full time
<p></p><p><b>Employee Type:
</b></p>Staff</div>

Data Analyst 1

The General Hospital Corporation

<div>Site: The General Hospital Corporation<p></p><p><br>
Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.</p><p></p><p><b><br>
Job Summary</b></p>
A full-time Sr. Data Analyst position is available at the Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, under the supervision of Dr. Anastasia Yendiki. The analyst will join the investigative team of the Large-Scale Imaging of Neural Circuits (LINC) project, and as such contribute to an unprecedented effort by the NIH BRAIN Initiative to produce first-ever maps of brain connections across scales (https://www.ninds.nih.gov/news-events/highlights-announcements/nih-brain-initiative-launches-projects-develop-innovative-technologies-map-brain-incredible-detail). The LINC project brings together a multi-disciplinary group of experts from 9 institutions (Brigham and Women&rsquo;s Hospital, Columbia University, Duke University, Harvard University, Massachusetts General Hospital, Massachusetts Institute of Technology, University College London, University of Rochester, Weill Cornell Medicine) to develop novel imaging technologies and combine them with machine learning to produce detailed wiring diagrams of the brain (https://connects.mgh.harvard.edu). The Sr. Data Analyst will assist with this effort by developing software pipelines for the acquisition and analysis of ex vivo microscopy and MRI data. The position offers the opportunity to participate in publications and to be part of a fast-paced research environment at the cutting edge of neuroimaging method development.<p></p><div><div><div><div><div><div><div><p><b><br>
Qualifications</b></p></div></div></div></div></div></div></div><p>
Education<br>
Bachelor's Degree Analysis required or Bachelor's Degree Related Field of Study required<br>
<br>
Experience<br>
Experience in data analysis 5-7 years required</p><p></p><div><p><b>
PRINCIPAL DUTIES AND RESPONSIBILITIES:
</b></p></div><ul><li>Develop, deploy, and troubleshoot software tools for the acquisition, quality assurance, pre-processing, and annotation of imaging data</li><li>
Work with researchers on our team to train, test, and/or troubleshoot their newly developed software tools for image analysis tasks such as registration, segmentation, or tractography</li><li>
Assemble and test end-to-end image analysis pipelines, by combining these tools with other publicly available software packages</li><li>
Extend image visualization tools to support inputs from these pipelines</li><li>
Assist with data management on the cloud-based platform of the LINC project</li><li>
Assist with data analysis and visualization for scientific manuscripts</li><li>
Assist with maintaining lab documentation and software repositories</li></ul><div><p><b>
SKILLS &amp; COMPETENCIES REQUIRED:
</b></p></div><ul><li>Strong mathematical skills, as evidenced by relevant coursework. The ideal candidate will have a degree in engineering, applied math, computer science, or related field</li><li>
Strong programming skills in python, and experience with at least one more programming language (e.g., C/C++, julia, MATLAB, JavaScript, TypeScript)</li><li>
Familiarity with common software packages for neuroimaging and/or microscopy data analysis and visualization (e.g., FreeSurfer, FSL, ImageJ)</li><li>
Familiarity with at least one machine learning / deep learning framework (e.g., tensorflow, pytorch)</li><li>
Willingness and ability to gain experience in languages/frameworks beyond prior experience</li><li>
Excellent organizational skills, oral and written communication skills</li><li>
Ability to work independently as well as within an integrated research team</li></ul><p>
Ability to prioritize multiple tasks and handle fluctuating priorities and deadlines</p><p></p><div><div><div><div><div><div><div><p><b><br>
Additional Job Details (if applicable)</b></p></div></div></div></div></div></div></div><p></p><div><div><div><div><div><div><div><p><b><br>
Remote Type</b></p></div></div></div></div></div></div></div>
Onsite<p></p><div><div><div><div><div><div><div><p><b><br>
Work Location</b></p></div></div></div></div></div></div></div>
149 Thirteenth Street Building 149<p></p><div><div><div><div><div><div><div><p><b><br>
Scheduled Weekly Hours</b></p></div></div></div></div></div></div></div>
40<p></p><div><div><div><div><div><div><div><p><b><br>
Employee Type</b></p></div></div></div></div></div></div></div>
Regular<p></p><div><div><div><div><div><div><div><p><b><br>
Work Shift</b></p></div></div></div></div></div></div></div>
Day (United States of America)<p></p><p><b><br>
Pay Range</b></p>
$79,560.00 - $115,720.80/Annual<p></p><p><b><br>
Grade</b></p>
7<br>
<p></p>
At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package.<p></p><div><div><div><div><div><div><div><p><b><br>
EEO Statement:</b></p></div></div></div></div></div></div></div>
1200 The General Hospital Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran&rsquo;s Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.<p></p><h2 class="jobSectionHeader"><b><br>
Mass General Brigham Competency Framework</b></h2><div><div><p>
At Mass General Brigham, our competency framework defines what effective leadership &ldquo;looks like&rdquo; by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.</p></div></div></div>

Data Analyst, Sr.

RA Capital Management

<div>
 Imagine if you had the skills, knowledge, and teammates to both understand the root of the world&rsquo;s most pressing problems and build the technologies and companies best positioned to solve them.
 <strong>
  RA Capital
 </strong>
 has done exactly that for more than two decades, backing bold ideas in medicines to further human health and now expanding into Planetary Health to improve how efficiently we utilize the world&rsquo;s precious resources.
 <br/>
 <br/>
 RA Capital is among the leading providers of capital and services to the most promising innovators in the world. We invest flexibly&mdash;seed to IPO and beyond, anywhere in the world&mdash;with $10 B+ under management and a culture that prizes curiosity, rigor, and collaborative debate. We are investors who not only fund companies but get elbow deep in building them. From helping them recruit talent to helping them recruit patients for their studies to helping match them to strategic partners and even going to Washington to win reforms, RA Capital&rsquo;s large team has people with nearly every relevant expertise one might need to turn an idea into a cure that actually helps people.
 <br/>
 <br/>
 If you live for first-principles problem-solving with great colleagues, thrive on complexity, and want to do meaningful work that ripples across industries and ecosystems, you&rsquo;ll feel at home at RA Capital. Here, questions are welcomed, ideas are tested, and victories are shared. Even our lawyers are creative and engaging. And don&rsquo;t get us started on our compliance team&rsquo;s wicked sense of humor; nothing about what we do is boring.
 <br/>
 <br/>
 Are you ready to bring your creativity, discipline and collaborative spirit to help us invent the future? Join us and you&rsquo;ll collaborate daily with investors, founders, physicians, biologists, engineers, economists, and reform advocates who think in systems and act with urgency.
 <br/>
 <br/>
 Join us to invent a happier, healthier, more productive future - and have fun doing it.
 <br/>
 <br/>
 <strong>
  Data Analyst Associate
  <br/>
  <br/>
 </strong>
 The Data Analyst Associate will support the Research Team by leveraging technical skills and tools to ingest, clean, and analyze large datasets and ultimately glean insights from them. This role will report to the Director of Research. Candidates must be eager to experiment with ways to incorporate AI into their work to be more efficient and effective. RA Capital is looking for people who are proactive about using AI where possible, looking for new tools and even creating new tools; AI is transforming our work, and we are specifically looking for AI-forward people to ensure that we are leveraging these tools to make us as effective as possible.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Manage sourcing, collection, curation, and structuring of detailed scientific and financial data to facilitate competitive landscape analysis and other projects as needed.
  </li>
  <li>
   Efficiently pull from a myriad of databases, including internal proprietary databases, third-party subscription databases, and public databases to extract key data and supporting information.
  </li>
  <li>
   Identify inefficiencies in our processes and propose technical solutions to optimize them, primarily through automation.
  </li>
  <li>
   Partner with members of the TechAtlas and/or Investment Team to help scope analyses, distill take-aways, and identify actionable next steps.
  </li>
  <li>
   Lead one or more quantitative data analytics projects with input from manager and help design and build data visualizations as needed.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Education And Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelors Degree in data science, computer science, data analytics, software engineering or similar
  </li>
  <li>
   Prior internship or full-time experience (2 years or less). Preferred experience in biotech, life sciences or VC funds.
  </li>
  <li>
   Advanced knowledge of Python (pandas, web scraping, api integrations) and SQL
  </li>
  <li>
   Experience with Databricks and Sigma Computing for dashboard creation
  </li>
  <li>
   Flexibility to manage priorities on multiple simultaneous projects
  </li>
  <li>
   Ability to work effectively in a fast-paced environment
  </li>
  <li>
   Ability to identify, analyze, and interpret trends or patterns in complex data sets
  </li>
  <li>
   Ability to communicate effectively and professionally in written and oral formats to both internal and external audiences
  </li>
  <li>
   Ability to identify and implement process improvements focused on automating time-consuming and/or laborious tasks
  </li>
  <li>
   Must be based in Boston area; no relocation and local applicants only
  </li>
  <li>
   Must be authorized to work in the United States without sponsorship or sponsorship transfers
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compensation
  <br/>
  <br/>
 </strong>
 RA Capital Management is committed to fair and equitable compensation practices. Pay for this position will be based on experience, skills, qualifications, and current market conditions.
 <br/>
 <br/>
 In addition to base salary (listed below), employees may be eligible for performance-based bonuses and a comprehensive benefits package that includes health insurance, retirement contributions, and paid time off.
 <br/>
 <br/>
 Total Rewards
 <br/>
 <br/>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 We take pride in offering a comprehensive employee benefits program as a key part of overall compensation. Our Total Rewards include:
 <br/>
 <br/>
 <ul>
  <li>
   Employer-paid monthly premiums for health, dental, and vision coverage
  </li>
  <li>
   Wellness benefits and programs to support physical and mental well-being
  </li>
  <li>
   Resources and perks that enhance work-life balance and financial security
   <br/>
   <br/>
  </li>
 </ul>
 We&rsquo;re dedicated to helping our employees thrive professionally and personally.
 <br/>
 <br/>
 Massachusetts base pay range
 <br/>
 <br/>
 $65,000 - $90,000 USD
 <br/>
 <br/>
 <em>
  RA Capital is an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you require an accommodation during the interview process, please reach out to careers@racap.com for assistance.
 </em>
</div>


Data Analyst Associate, Research

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