medical data analyst

AstraZeneca

<div><h2 class="jobSectionHeader"><b>Job Title: Senior Analyst - (Data Analyst)</b></h2><h2 class="jobSectionHeader"><b>
Career Level: D1</b></h2><p></p><h2 class="jobSectionHeader"><b>
Introduction to role:</b></h2><p>
Are you ready to turn complex Medical data into decisions that reach patients faster? In this role, you will transform fragmented datasets into trusted insight products that Medical leaders use to act with confidence. Your work will give clarity to urgent questions, standardize critical metrics, and build the analytics backbone that powers better outcomes.</p><p>
You will join a fast-moving, collaborative team focused on becoming a tech-enabled enterprise. By driving automation, crafting scalable data models, and crafting interactive Power BI reports, you will remove friction and increase consistency. You will also help the organization operate more efficiently. Will you take ownership of the data designs and dashboards that leaders rely on every week to guide strategy?</p><p></p><h2 class="jobSectionHeader"><b>
Accountabilities:</b></h2><ul><li><p>
Medical Reporting and Analytics: Design and run custom and standard reports using Excel, Power Query, SQL/Python; perform rapid ad hoc analyses that answer urgent Medical questions and inform timely decisions.</p></li><li><p>
Create robust and reusable data models across various sources. Develop intuitive Power BI dashboards with DAX that align to standard Medical benchmarks. This allows consistent performance tracking.</p></li><li><p>
Automation and Ingestion: Automate the capture and integration of manual and external datasets outside core hubs to create repeatable, low-touch reporting and analytics pipelines.</p></li><li><p>
Data Design and Decisions: Own schema, transformation, and calculation choices to ensure scalability, performance, and maintainability as demand and data volumes grow.</p></li><li><p>
Data Quality and Consistency: Proactively monitor data quality, safeguard global data integrity, and drive consistent reporting; surface issues early and coordinate resolution with partner teams.</p></li><li><p>
Rules Validation and Conflict Resolution: Identify and source datasets to validate business rules and requirements; resolve conflicts within and across systems to maintain a single source of truth.</p></li><li><p>
Continuous Improvement: Gather feedback, identify requirements, and propose new capabilities that elevate reporting, platforms, and metric maturity over time.</p></li><li><p>
Platform Support: Support Medical platforms and data products to ensure accuracy, integrity, and reliable refreshes that collaborators can trust.</p></li><li><p>
Collaborator Collaboration: Partner with Medical and multi-functional teams to tailor dashboards and reports to specific needs, drive adoption, and embed data-driven decision-making.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Essential Skills/Experience:</b></h2><ul><li><p>
Education: Quantitative bachelor&rsquo;s degree (Engineering, Statistics, Applied Math, Computer Science, Data Science, Economics, or related).</p></li><li><p>
5+ years of experience.</p></li><li><p>
Analytics and BI: Proficient with Power BI (data modelling, DAX, visuals), Excel/Power Query, and SQL; solid understanding of Python for data wrangling/automation.</p></li><li><p>
Data governance and quality: Good understanding of data quality practices, lineage, and documentation to ensure integrity and reproducibility.</p></li><li><p>
Communication: Superb communication and interaction with involved parties; ability to translate Medical needs into clear technical requirements and deliver concise insights.</p></li><li><p>
Ways of working: Ability to define user stories and acceptance criteria; collaborate in agile sprints; advocate for usercentric design in analytics products.</p></li><li><p>
Problem solving: Demonstrated ability to investigate data issues, reconcile discrepancies, and produce actionable recommendations</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Desirable Skills/Experience:</b></h2><ul><li><p>
Advanced tooling: Experience with Databricks, AWS S3/Redshift (or similar cloud data platforms), and Power Apps for light workflow enablement or troubleshooting.</p></li><li><p>
Data engineering basics: Experience building data models from multiple sources/tables; familiarity with data pipelines and scheduling for automated refresh.</p></li><li><p>
Domain exposure: Understanding of Medical/Scientific data domains and important metrics; familiarity with Veeva/Medical platforms and enterprise data hubs.</p></li><li><p>
Standards and semantics: Exposure to metric standardisation, taxonomy/ontology usage, or semantic models to support consistent reporting.</p></li><li><p>
Process excellence: Experience partnering with multiple collaborators (Medical, Commercial, IT) and third-party providers; comfort with compliance-aware analytics practices.</p></li></ul><p></p><p>
When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.</p><p></p><h2 class="jobSectionHeader"><b>
Why AstraZeneca:</b></h2><p>
Here your craft directly shapes how our company runs, from freeing scientists to focus on discovery to equipping leaders with predictive, automated insight. We are investing in modern data platforms and smart automation to scale impact, and we put curious, kind, and ambitious people together to spark bold ideas that become real products. You will collaborate across disciplines, learn from a global network of high performers, and see your work accelerate decisions that matter to patients. We value kindness alongside ambition, pairing high standards with genuine support so you can experiment, move quickly, and grow your career while making a meaningful difference.</p><p></p><p><i>
Own this opportunity to design the insight products that power faster, smarter decisions&mdash;step in and help shape the next chapter of our data-driven impact.</i></p></div>

Senior Analyst - (Data Analyst)

Medical Billing Wholesalers

<div><div><div><div><div><div><p>Enhance your career with MBW RCM, a rapidly expanding leader in offshore medical billing. At MBW, we believe &quot;normal&quot; is overrated&mdash;here, you&rsquo;ll have exciting opportunities to learn, grow, and work closely with clients to advance your career. We offer competitive salaries in line with industry standards, plus a range of attractive benefits. Join us and take your professional journey to new heights!</p><h2 class="jobSectionHeader"><b>
Job Description</b></h2><ul><div><p>
Collect all the data and documents required for filing credentialing applications from the physicians</p></div><div><p>
Store the documents centrally on our secure document management systems</p></div><div><p>
Understand the top payers to which the practice sends claim and initiate contact with the payers</p></div><div><p>
Apply the payer-specific formats after a due audit</p></div><div><p>
Timely follow-up with the Payer to track application status</p></div><div><p>
Obtain the enrolment number from the Payer and communicate the state of the application to the physician</p></div><div><p>
Periodic updates of the document library for credentialing purposes</p></div></ul><h2 class="jobSectionHeader"><b>
Desired Candidate Profile</b></h2><ul><div><p>
Should have worked as a Credentialing Analyst for at least 1 year with medical billing service providers</p></div><div><p>
Good Knowledge in Provider credentialing (Doctor side).</p></div><div><p>
Experience in Insurance calling.</p></div><div><p>
Good knowledge in filling insurance enrolment applications.</p></div><div><p>
Good experience in CAQH, PECOS application.</p></div><div><p>
Experience in Medicare, Medicaid, Commercial insurance enrolment.</p></div><div><p>
Positive attitude to solve problems</p></div><div><p>
Willingness to work in night shifts</p></div><div><p>
Knowledge of generating aging report</p></div><div><p>
Strong communication skills with a neutral accent</p></div><div><p>
Graduate degree in any field</p></div></ul>
</div>
</div></div><div><div><div><h3 class="jobSectionHeader"><b>Email Your Resume</b></h3>
</div>
</div></div><div><div><div><div>If you would like to be considered for this opportunity, please email your resume to our recruiting team.<br>
Email: careers@mbwrcm.com</div>
</div>
</div></div></div><p></p><div><div><div><div><h3 class="jobSectionHeader"><b>Apply for Direct Interview</b></h3>
</div></div></div><p></p><div><div><div>
</div></div></div></div></div><p></p><div><div><div><h3 class="jobSectionHeader"><b>Walk-in-Venue (Mon-Fri)</b></h3></div></div></div></div><p></p>

Credentialing Analyst - Chennai

Enviri Global Service Centre

<div><b>Company Description</b><p><b><br>
Enviri Corporation </b>(Formerly known as Harsco Corporation) is a market-leading, global provider of environmental solutions for industrial, retail, and medical waste streams, and innovative equipment and technology for the rail sector. We have an unrivalled breadth of experience across the globe and an impressive reputation stretching back more than a century. Based in Camp Hill, PA, with more than 13,000 employees and the company operates in more than 30 countries.</p><p><b>
About Enviri GSC</b></p><p>
Enviri GSC handles a wide range of services, including finance and accounting shared services, global HR shared services, providing IT services and helpdesk support, and market research support to Harsco globally. We have been operating since 2008 &amp; serving 30+ Countries.</p><b><br>
Job Description</b><p><br>
The Master Data Analyst is responsible for maintaining Item, Product, Supplier, and associated Product data and their relationships in our ERP system (LN). In this role, this person will be responsible for the data maintenance and integration with respect to the data quality rules. Also, responsible for producing and maintaining daily reports for the business. Need to analyze data for reporting.</p><p><b>
Primary Job Responsibilities:</b></p><ul><li>
Integrate the business data maintenance requests in the ERP system promptly</li><li>
Determine and use the most appropriate way to integrate the data (manual/mass/import maintenance)</li><li>
Apply the data quality rules and checks during the data integration</li><li>
Emergency data fixes (missing data, wrong data), including Data analysis/formatting/ cleansing</li><li>
Escalate to Senior Management and/or IT when appropriate</li><li>
Help to support and test changes that impact the System</li><li>
Data analysis, maintenance, and development of reports for the business.</li></ul><br>
<b>
Qualifications</b><p><b><br>
Required Skills:</b></p><ul><li>
Bachelor&rsquo;s degree and experience with Master Data Management, especially Product Data.</li><li>
3-5 years of relevant experience.</li><li>
Good understanding of data relationships and databases, and recognition of the importance of high-quality data and data integrity</li><li>
Working knowledge of applications supporting Master Data Management (Data modeling, cleaning, import)</li><li>
Experience working with Master Data in a business context (Items/products, suppliers, catalogs, classifications)</li><li>
MS Office (Excel) proficient and exposure to Macros. Knowledge of Baan/LN is an advantage.</li><li>
Skills in metrics, reporting, and data analysis, exposure to Power BI, MS-SQL is preferrable.</li><li>
Rotational Shifts (2-11 PM IST) and (04.30 PM- 01.30 AM)</li></ul><br>
<b>
Additional Information</b><p><b><br>
Disclaimer</b></p><p>
The information about this job description given above has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.</p></div>

Analyst - MDM (Master Data Management)

FlairsTech

<div><div><div><div><p>Requirements and responsibilities</p><div><p><b><br>
Position Summary</b></p><p>
The Clinical Research Data Analyst &ndash; Scientific Content &amp; Research is responsible for researching, curating, validating, and analyzing scientific and clinical data from reputable healthcare and life sciences sources. This role supports high-value client products by ensuring that scientific content, conference records, journal publications, and clinical trial data are accurate, structured, and publication-ready.</p><p>
The ideal candidate is analytical, detail-oriented, and thrives in a fast-paced, collaborative environment. This role requires strong research capabilities, data interpretation skills, and the ability to transform complex scientific information into structured, reliable datasets.</p><div></div><p><b>
Key Responsibilities</b></p><ul><li>
Research and extract data from peer-reviewed journals, clinical trial registries, conference proceedings, and scientific databases.</li><li>
Collect, analyze, abstract, and structure scientific information into standardized formats.</li><li>
Maintain and update conference records (monthly) and journal records (annually), ensuring data accuracy and integrity.</li><li>
Perform quality assurance checks to validate data consistency and completeness.</li><li>
Conduct web-based research including scientific news sources, blogs, forums, and industry publications.</li><li>
Analyze published data related to clinical trials and life sciences research.</li><li>
Support data mapping, indexing, and source validation activities.</li><li>
Contribute to process improvement initiatives to enhance data curation workflows.</li><li>
Assist in identifying opportunities for automation to improve operational efficiency.</li><li>
Communicate progress, risks, and findings clearly to stakeholders.</li><li>
Maintain up-to-date documentation of procedures and workflows.</li></ul><div></div><p><b>
Required Skills &amp; Competencies</b></p><ul><li>
Strong understanding of clinical research and/or medical affairs.</li><li>
Knowledge of scientific publishing processes within biotech or pharmaceutical industries.</li><li>
Familiarity with conference schedules, abstract submissions, and publication timelines.</li><li>
Solid data mining, curation, and indexing experience using scientific databases.</li><li>
Strong analytical thinking and problem-solving capabilities.</li><li>
Advanced Microsoft Excel skills (data manipulation, formulas, structured datasets).</li><li>
Working knowledge of databases and query languages (e.g., SQL) is preferred.</li><li>
Comfortable working with large datasets.</li><li>
Strong written and verbal communication skills in English.</li><li>
Highly organized with strong attention to detail.</li><li>
Ability to work independently and collaboratively across teams and time zones.</li><li>
Technically adaptable and quick to learn new systems and tools.</li></ul><div></div><p><b>
Qualifications</b></p><ul><li>
Bachelor&rsquo;s degree in Pharmaceutical Sciences, Biomedical Sciences, Molecular Biology, Computer Science, or a related discipline.</li><li>
Experience working with scientific literature, clinical trial data, or healthcare databases.</li><li>
Proficiency in English (written and spoken).</li></ul><div></div><p><b>
Work Environment &amp; Expectations</b></p><p>
This role requires high accuracy, accountability, and the ability to meet structured deadlines. Responsibilities may evolve over time in alignment with business needs, with appropriate training provided.</p></div></div></div></div></div><p></p>

Clinical Research Data Analyst

Anblicks

<div><div><b>Mid Level Data Analyst - Healthcare</b></div><div><b>
Location: Hyderabad</b></div><div><b>
Experience: 5+ Years</b></div><div></div><div><b>
Job Description</b></div><div>
At <b>Anblicks</b>, our vision is to transform data into value for everyone. Our data services enable marketers to recognize, better understand, and deliver highly applicable messages to consumers across any available channel. Our solutions enable true people-based marketing with identity resolution and rich descriptive and predictive audience segmentation. We are seeking a Data Analyst with a versatile skill set to undertake data science and analytics supporting the development of next-generation products for Anblicks&rsquo; business.</div><div>
As part of the Data Sciences &amp; Analytics Team, you will work hands-on with innovative technologies to build scalable data products and solutions for our US and global businesses. Your responsibilities include collaborating with partners to identify insights from data, come up with modeling requirements, applying creativity to test hypotheses, prepare &amp; automate data preparation processes, build models, analyze and visualize results and integrate the solution into innovative data products.</div><div></div><div><b>
What You Will Do:</b></div><ul><li><ul><li>
Research and develop an understanding of Anblicks products, tools, and processes</li><li>
Assist with the validation and delivery of products or improvements</li><li>
Prepare analysis datasets by appending data, deduping, loading data to analysis application, and merging with other datasets</li><li>
Perform queries on the data to discern data anomalies and quality audits to ensure the accuracy of the rules or statistical models prior to delivery to clients</li><li>
Monitor model performance and adjust models as directed by team leads and senior data scientists</li><li>
Perform analysis and maintenance on existing models &amp; data products as well as the recalibration or re-development of data products</li><li>
Assist with engineering, build teams, delivery and platform teams to ensure appropriate data delivery and presentation</li><li>
Perform basic research/analysis which includes accuracy reports, cross-tabs, frequencies, data hygiene, correlations, data summarizations, and profile reports</li><li>
Collaborate with other data scientists and team leads to define project requirements including data sources, algorithms, and implementation</li><li>
Offer ideas for product and/or process improvements such as automation related to focus area of work</li><li>
Utilize data and partner with data scientists to develop and build audience propensity models or data science algorithms used in creation of information products and analytical solutions for client and partner data applications</li><li>
Extract, load, and transform data as preparation for modeling. Build and maintain data mart solutions to support scored model outputs</li></ul></li></ul><div></div><div><b>
What You Will Need:</b></div><ul><li><ul><li>
Working knowledge or experience with one or more of the following tools: SQL, R, Python, Scala, Spark or similar programming language</li><li>
3&ndash;5 years experience with ETL, data transformation, data mart development, data source ingestion, data pipelining, data warehousing solutions</li><li>
4 years experience with distributed computing &ndash; Spark, Hive. Experience with Snowflake is a plus</li><li>
2&ndash;3 years of experience in Linux, shell scripting and/or similar scripting languages for automation</li><li>
Ability to demonstrate critical thinking and enthusiasm for translating data into actionable insight to generate consistently accurate and useful analysis and models</li><li>
Ability to quality control model development and productionization process</li><li>
Bachelor&rsquo;s Degree in a quantitative field (Applied Mathematics, Applied Statistics, Economics, or Computer Science) or related degree programs and 2 years of relevant work experience</li><li>
Ability to work independently when given detailed specification and instruction</li><li>
At least 2 years experience in building models and knowledge of ML Algorithms (GLM, Decision Tree, Boosting, Bagging Trees, SVM, regression, clustering etc.)</li><li>
At least 2 years of experience in statistical modeling techniques to conduct forecasting and other predictive modeling services using R, Python, Scala, Spark/pySpark</li><li>
Standout colleague, flexible, and creative</li><li>
Attention to detail and time management delivering high quality work while meeting deadlines</li><li>
Experience working with large datasets</li><li>
Experience with Tableau, Microsoft Excel, and PowerPoint</li></ul></li></ul><div></div><div><b>
What Will Set You Apart:</b></div><ul><li><ul><li>
Snowflake Data Analyst certification and health data experience</li><li>
Knowledge of Deep Learning and Neural Network-based modeling frameworks</li><li>
Familiarity with cloud environments (e.g., AWS, Google Cloud Platform, Azure etc.)</li></ul></li></ul></div>

Mid Level Data Analyst - Healthcare

Vatica Health

<div><p>The Healthcare Data Analyst is responsible for supporting Cozeva + Vatica&rsquo;s analytics efforts in support of the Growth team and broader corporate initiatives. These services include, but are not limited to, development of rapid client-facing outputs in support of new sales and expansion of existing relationships, enable visibility to risk adjustment market metrics, support other organizational efforts leveraging analytics. The Healthcare Data Analyst will serve as a partner with the BI reporting team and the Data Engineering team, filling time-sensitive needs with rapid-response solutions and subsequently supporting migration to institutional tools when appropriate.</p><p></p><p><b><br>
Responsibilities:</b></p><ul>
<li>
Gather, interpret, and employ internal and public data to support identification of clear actions to drive corporate growth.
</li><li>Refresh, interpret, and distribute analytics to support regular meetings and work groups.
</li><li>Support collaboration with health plan clients to analyze, design, and develop networks through ongoing evaluation of both current and potential network participants.
</li><li>Contribute to design and development of data-driven client solutions.
</li><li>Analyze data related to practice/provider participation, to identify opportunities to increase the number of participating providers (in existing practices) and new practices participating in Cozeva + Vatica&rsquo;s programs.
</li><li>Participates in the development of targeting for sales campaigns.
</li><li>Payer Opportunity Projections: Analysis of potential payer networks in preparation of Provider network campaign loads.
</li><li>Using Access/Power BI desktop/Alteryx, load and evaluate pre-sale data files from prospective payers.
</li><li>Identify contracted organizations (Wave Zero) and net new organizations (Wave One) having sufficient opportunity, factoring any Payer carve-outs.
</li><li>Complete geo mapping as needed.
</li><li>Evaluate members overlap with other Payers as needed.
</li><li>Prepare Campaign load data in format defined by Salesforce administrator, and initiate Campaign load with Salesforce administrator following final approval.
</li></ul><p><b>Requirements</b></p><p></p><ul>
<li>
High proficiency with Microsoft Suite: Access, Excel and PowerPoint
</li><li>High proficiency with Azure Synapse Analytics and the ability to code in T-SQL, Spark SQL and pyspark or similar languages</li>
</ul><ul><li>2-5 years&rsquo; experience working in health plan or provider analytics, preferably in risk adjustment or quality.</li>
<li>Experience working in PowerBI or Tableau</li>
<li>Ability to understand and ingest complex internal and external business-related data sets.
</li><li>Ability to work quickly to develop rapid solutions to meet immediate needs.
</li><li>Direct experience with risk adjustment (Medicare Advantage and/or ACA) understanding core metrics such as condition prevalence, HCC scoring, etc.
</li><li>Experience pulling data from disparate platforms to create an accurate unified picture used to drive business decisions. Experience in Salesforce.com CRM (Preferred)
</li><li>Excellent multitasking and prioritization skills with a proven ability to manage multiple, simultaneous projects to completion</li>
<li>Highly organized and detail oriented.</li>
<li>2-year degree required</li></ul><p></p><p><br>
<b>Competencies:
</b></p><p>Situational Adaptability &amp; Flexibility</p><ul>
<li>
Quickly adjusts approach to meet changing situations, demonstrating high versatility and adaptability.
</li><li>Focuses on making a positive impact in every interaction and remains positive when quick pivots are needed, seamlessly fitting into any environment</li>
</ul><p>
Action Oriented</p><ul>
<li>
Proactively tackles challenges and seizes opportunities with energy and enthusiasm.
</li><li>Independently researches issues and proposes solutions without waiting for direction</li>
</ul><p>
Business Insight &amp; Organizational Savvy</p><ul>
<li>
Aligns tasks and initiatives with company priorities, translating goals into actionable plans with clear milestones.
</li><li>Navigates organizational dynamics effectively, engaging key stakeholders, and leveraging resources to develop strategic solutions.
</li><li>Regularly evaluates and adjusts priorities to ensure meaningful impact and results</li>
</ul><p>
Collaborates</p><ul>
<li>
Forges strong partnerships to achieve shared goals, actively engaging with others, and valuing diverse perspectives.
</li><li>Works cooperatively across teams, earning trust and support while sharing credit for successes.
</li><li>Leverages collaboration to strengthen professional relationships and deliver impactful results.</li>
</ul><p>
Communicates Effectively</p><ul>
<li>
Delivers clear, purposeful messages that ensure understanding and connection.
</li><li>Adapts communication style with emotional intelligence, demonstrating active listening, empathy, and confidence.
</li><li>Fosters open dialogue, encouraging collaboration and attentively valuing others' perspectives.</li>
</ul><p>
Manages Ambiguity &amp; Complexity</p><ul>
<li>
Navigates uncertainty and change with flexibility, making decisions despite incomplete information.
</li><li>Collaborates to find solutions, manages risk, and remains productive in ambiguous situations, viewing complexity as an opportunity</li>
</ul><p><b>
Benefits</b></p><p><b>
WORKING AT VATICA HEALTH ADVANTAGES</b></p><p><b>
Prosperity</b></p><ul>
<li>Competitive salary based on your experience and skills &ndash; we believe the top talent deserves the top dollar</li>
<li>Bonus Potential (based on role and is discretionary) &ndash; if you go above and beyond, you should be rewarded</li>
<li>401k plans&ndash; we want to empower you to prepare for your future</li>
<li>Room for growth and advancement- we love our employees and want to develop within</li>
</ul><p><b>Good Health</b></p><ul>
<li>Comprehensive Medical, Dental, and Vision insurance plans</li>
<li>Tax-free Dependent Care Account</li>
<li>Life insurance, short-term, and long-term disability</li>
</ul><p><b>Happiness</b></p><ul>
<li>Excellent PTO policy (everyone deserves a vacation now and then)
</li><li>Great work-life balance environment- We believe family comes first!</li>
<li>Strong supportive teams- There is always a helping hand when you need it</li>
</ul><p></p><p>The salary for a position is typically determined by multiple factors such as the individual's qualifications, experience, skills, and location. The projected compensation range for the position may vary based on these factors and could range from $80,000 to $90,000 (annualized USD). However, this estimate represents just one aspect of our total compensation package offered.</p><p><b>
Are</b> <b>you</b> <b>up</b> <b>to</b> <b>the</b> <b>challenge?</b> <b>What</b> <b>are</b> <b>you</b> <b>waiting</b> <b>for?</b> <b>Apply</b> <b>today!</b></p></div>

Healthcare Data Analyst

Accenture

<p><b>Skill required:</b> Clinical Data Services - Clinical Database Programming<br>
<b>Designation:</b> Clinical Data Svs Analyst<br>
<b>Qualifications:</b>BE/MSc
<br>
<b>Years of Experience:</b>3 to 5 years
<br>
<b>About Accenture</b><br>
Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song&mdash; all powered by the world&rsquo;s largest network of Advanced Technology and Intelligent Operations centers. Our 784,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com
<br>
<b>What would you do?</b> You will be aligned with our Life Sciences R&amp;D vertical. Our services span across the entire life sciences enterprise, from research laboratories, clinical trials support, and regulatory services, to pharmacovigilance and patient services solutions. Employees under this span will be a part of one of the sub-offerings - Clinical, Pharmacovigilance &amp; Regulatory, helping the world&acirc;&euro;&trade;s leading biopharma companies bring their vision to life &acirc;&euro;&ldquo; enabling them to improve outcomes by converging around the patient, connecting scientific expertise with unique insights into the patient experience. Clinical Data Services involve the management and processing of data collected during clinical trials. This includes data collection, validation, storage, and analysis to ensure the data is accurate and reliable. The goal is to support clinical research by providing high-quality data that can be used to evaluate the safety and efficacy of medical treatments. These services are essential for regulatory compliance and successful trial outcomes. They often utilize specialized software and systems to manage the data efficiently. Develop and review complex edit checks, patient profile listings, reports, preprocessing checks &amp; map datasets for validation based on study requirements using different tools/techs such as Cognos / SAS, J-Review, or any other applicable systems.<br>
<b>What are we looking for?</b> &bull;Clinical Data Management &bull;Clinical Database Testing &bull;Clinical EDC Build &bull;Clinical EDC Design &bull;Ability to establish strong client relationship &bull;Ability to handle disputes &bull;Ability to manage multiple stakeholders
<br>
<b>Roles and Responsibilities:</b> &bull;In this role you are required to do analysis and solving of lower-complexity problems &bull; Your day to day interaction is with peers within Accenture before updating supervisors &bull; In this role you may have limited exposure with clients and/or Accenture management &bull; You will be given moderate level instruction on daily work tasks and detailed instructions on new assignments &bull; The decisions you make impact your own work and may impact the work of others &bull; You will be an individual contributor as a part of a team, with a focused scope of work &bull; Please note that this role may require you to work in rotational shifts</p>
<br>
BE,MSc

Clinical Data Svs Analyst

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