https://CAREERS.PLANET-PHARMA.COM/ en-us Target PR Range: 30-40/hr DOE

Purpose:
The Data Manager is a member of the Data Management and Analysis team responsible for supporting the successful delivery of data and processes conducted by CROs. This individual will collaborate closely with the Data Management & Analysis team and internal colleagues to ensure data integrity and quality in human clinical trials up through clinical proof of concept.

Responsibilities:

•
o Provide CRO oversight and feedback related to the data management operations, issues and trends in performance
o Completes assignments as delegated by Data Management relating to operational objectives and study deliverables
o Effectively utilizes available technology, EDC platforms, Reporting and Visualization tools
o Reviews CRO deliverable to ensure adherence to data standards and protocol requirements implemented within the design
o Reviews study execution documents including specifications, data management plan, data review plan, data transfer plan and other cross functional plans delineating data review needs
o Provide CRO oversight of data management tasks in adherence with established standards including third party vendor data reconciliation, medical coding processing, protocol deviation collection, and query management to identify errors and inconsistencies in clinical data and ensure their resolution
o Identify and triage issues as they occur
• Ensures CRO data management adherence to federal regulations and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, and to data management quality standards.
Qualifications:
• Bachelor’s degree in business, management information systems, computer science, life sciences or equivalent.
• Must have at least 4+ years of pharmaceutical, clinical research, data management, health care or other relevant experience
• Strong understanding of clinical trial processes and clinical technology
• Demonstrated history of successful execution in a fast-paced environment and in managing multiple priorities effectively
• Strong understanding of GCDMP
• Demonstrated effective communication skills
• Demonstrated effective problem-solving skills
Key Stakeholders:
• Statistical Programming
• Data Management
]]> Thu, 16 Apr 2026 00:00:00 EDT 1
TECHNICAL SKILLS
Must Have

• Advanced Excel
• Experience with SAP

Nice To Have

• Access Database Management
• Advanced SQL
• Microsoft Power BI
• Microsoft SQL Query Analyzer
• Tableau

Key Responsibilities:

• Collect, validate, and organize data related to payments and transfers of value to healthcare providers in support of federal Sunshine Act reporting requirements
• Assist in the preparation and submission of accurate and timely Open Payments reports to CMS, ensuring compliance with all applicable regulations and internal policies
• Perform data quality checks to identify discrepancies, missing information, or potential reporting errors in payment and transfer of value records
• Support the reconciliation of financial data across multiple systems including accounts payable, expense management platforms (Concur), and CRM databases
• Maintain detailed documentation of data sources, validation procedures, and reporting methodologies to support audit readiness
• Generate regular reports and dashboards to track reporting metrics, submission deadlines, and compliance status for stakeholders
• Collaborate with cross-functional teams including Legal, Finance, Commercial Operations, and Medical Affairs to gather required data elements
• Respond to data queries from healthcare professionals regarding reported payments and assist with dispute resolution processes
• Monitor regulatory updates and guidance for global transparency reporting requirements from CMS and other jurisdictions as needed
• Maintain organized records and filing systems for all Sunshine Act documentation in accordance with retention policies
• Other duties as needed

 

Education & Experience:

Bachelor’s degree in Data Analytics, Business Administration, Public Health, or related field with 1-2 years of relevant experience
]]> Tue, 14 Apr 2026 00:00:00 EDT 1 Acts as experts for data collection and acquisition, advising teams and stakeholders on best practices and proposing innovative solutions. e.g. the collection of new data types (e.g. emergent biomarkers), new technologies (e.g. sensors), and new data sources (e.g. EMR).
Partner with and provide oversight of data management deliverables (e.g. Task Ownership Matrix) to our Functional Service Providers (FSPs) and vendors. Provide Quality Assurance on tasks as applicable to ensure a high quality of data and compliance with applicable pharma industry regulations and standards.
Proactively manage timelines and track decisions, ensuring successful delivery of the study SOW carried out by FSP. Continue to be accountable for quality and where needed, provide business and technical expertise to our FSP.
Oversee sample management and eManifest process, ensuring timely, proactive resolution of queries.
Provide high level review of data using graphical visualizations, statistical monitoring tools, and standard metrics designed to identify outliers or trends in data received, gaps in standard checks programmed or other unexpected anomalies in the data.
As required, be the BDS DM representative on the SMTs and any associated meetings such as Data Quality meetings.
Proactively engage with stakeholders across the business and biometrics to understand their needs and influence their understanding of decisions made on our function.
Partner with relevant functions for external data vendor selection and management. Oversee development of data transfer agreements with vendors ensuring use of standards, fit for purpose data models and transfer intervals
Contribute to functional, cross functional, enterprise-wide or external initiatives that shape our future landscape.
Major Responsibilities

• Project Management Develop risk management strategies and proactively manage timelines to ensure successful oversight and delivery of studies & projects, including the implementation and adoption of new technologies
• Stakeholder Management Proactively engage with stakeholders across the business to understand their needs and influence their understanding of decisions made in our function. Inform stakeholders of key deliverables and act on changing milestones.
• Vendor Management Partner with relevant functions for external data vendor selection and management. Oversee development of data transfer agreements with vendors ensuring use of standards, fit-for-purpose data models and transfer intervals
• Data Collection and Acquisition Act as experts for data collection, advising teams and stakeholders on best practices and proposing innovative solutions. Ensure high quality data and compliance with applicable regulations and standards.
• Provide Data Solutions Stay current with and adopt emergent data collection, data management, visualization and provision tools and applications to ensure fit-for-purpose and impactful approaches. Deliver on solutions as needed.
• Data Quality Review Use data surveillance tools and strategies to provide aggregate level reviews designed to identify patterns or anomalies in our data to ensure high quality results.
• Data Curation Organization and integration of data collected from various sources. Maintain value of data through application of FAIR (Findable, Accessible, Interoperable, Reusable) principles.
• Support Analyses Partner with stakeholders to understand their data insight needs and offer Data Management solutions. Demonstrate a strong understanding of the data flow from collection to analysis and filing (if applicable).
• Functional Excellence Collaborate and contribute to functional/cross-functional initiatives or goals to promote new ways of working, including emerging technologies. Enable broader and more effective use of data to support the business.
• Technical Consultant Offer guidance and advice to peers within the function, to key stakeholders, and to FSPs, CRO and collaborative groups on technical solutions to ensure high quality data collection and delivery. Deliver on solutions as needed.

Minimum Qualifications

• BS or MS in Life Sciences, Data/Computer Science, Bioinformatics OR equivalent industry experience.
• Demonstrated strong collaboration and excellent communication skills-both written and oral (proficiency in English required)
• Knowledge of CDISC data standards
• Knowledge of ICH-GCP and working in regulated environment

Project Management skills

• Able to manage multiple requests and priorities
• Demonstrated leadership capabilities and decision-making, negotiation, motivation (self and others) and influencing
• Experience with data analytics and/or visualization tools and techniques
• Demonstrated entrepreneurial mindset and self-direction, ability to mentor others and willingness to learn new techniques
• Knowledge of biological principles, display interest and demonstrate scientific curiosity including understanding of data types and their scientific use (clinical, biomarker, WGS, RNA-seq, etc

Preferred/Additional Qualifications

• Experience in leading DM study teams and maintaining oversight of all start-up, conduct and close-out activities for multiple complex studies, ensuring fit for purpose quality.
• Experience in leading the collection of clinical trial and/or Real World Data.
• Good understanding of molecule and disease area strategies, healthcare environment, as well as strong scientific and technical expertise.
• Extensive technical and or industry experience (for senior and principal roles)
• Experience in enterprise level operating systems and familiarity with databases
• Fluency in programming languages (SAS, R, Python, SQL, etc)
• Some experience with advanced analytics approaches (e.g. machine learning, AI).
• Experience with tools related to technologies required to undertake analyses on large data sources with computationally intensive steps (SQL, parallelization, Hadoop, Spark, etc)
• Experience producing interactive outputs (e.g. Shiny, Tableau).
• Contributor to open source packages, libraries or functions.
• Experience implementing reproducible research practices like version control and literate programmer.
• Experience with SDTM implementation and CDISC standards.
• Experience with standardized technologies such as MedDRA and WHODrug.
• BSN, RN, RPh, Pharm D, PA or other applicable health professional qualification preferred.

Job Competencies

• Strategic Agility / Teamwork and Collaboration Understands and respects cultural differences when interacting with colleagues, whether locally or globally
• Strategic Agility Basic scientific understanding of the healthcare environment (e.g., regulatory, payers, medical practice) and regulatory guidelines in a pharmaceutical setting, as these relate to reporting requirements.
• Technical and Business Expertise: Management of Data for clinical studies Knowledge and experience in data management as applied to clinical projects in specific/all therapeutic area(s) including throughout the lifecycle of a clinical study; study start up through database lock/close activities
• Technical and Business Expertise: Data Management Industry Standards Knowledge and experience with CDISC/CDASH. Application of data standards or common data model in clinical studies. Compliant with HIPPA and other current patient privacy practice (example: GDPR). Staying informed with industry trends on new data collection technologies (example: new DM software/EDC systems, ePROs, etc) AND continued education/learnings to better understand other data sources (example: claims, EHRs, tele-medicines and other novel platforms).
• Technical and Business Expertise / Innovation Development and improvement of business and technical processes.
• Technical and Business Expertise / Teamwork and Collaboration Project management skills (e.g., manage scope and effective delegation to other functions, staff, contractors and external vendors).Project management/oversight of all data management activities (data process & tools).
• Communication / Teamwork and Collaboration / Inspiring and Influencing Communication and collaboration skills (including consulting skills, interpersonal skills to contribute effectively within- and acrossfunctional team settings, ability to influence others without authority, ability to build strong collaborative relationships with partners)
• Achieving Results Drive for results (e.g., being proactive, demonstrates interest and ability to learn new things, takes initiative, welcomes problems as challenges; finds creative solutions in an ambiguous environment)
• Achieving Results Degree of supervision to accomplish requirements
• Feedback and Coaching Ability and willingness to mentor other data managers

Pay ranges bwteen 75-80/hr based on experience ]]> Tue, 14 Apr 2026 00:00:00 EDT 1 Job Description: 
The Clinical Data Manager I will, at the direction of the Lead Clinical Data Managers, review data for multiple studies and perform User Acceptance Testing (UAT).
Clinical Data Manager will recommend process improvements related to their job responsibilities that can be used or developed to increase efficiency.

What will you do?
Data Review:
• At the direction of the Lead Clinical Data Manager perform regular data review across studies to identify quality issues, data trends/outliers and generate queries as necessary. Data Management Documentation:
• Participate in the updating of the Data Management Plans, Data Review Guidelines and CRF Completion Guidelines. User Acceptance Testing:
• At the direction of the Lead Clinical Programmer, perform User Acceptance Testing (UAT) of the clinical databases including EDC. Collaboration with Cross-Functional Teams:
• At the direction of the Lead Data Manager, provide ongoing day-to-day support to Clinical Study Teams to ensure all data is reviewed and discrepancies are resolved.
• Collaborate with internal team and stakeholders to ensure deliverables meet timelines.
Process Improvement:
• Recommend process improvements related to their job responsibilities that can be used or developed to increase efficiency.

Requirements
How will you get here?
• 0-2 years of experience working in clinical data management, preferably in the pharmaceutical or medical device industry
• Multi-tasking, problem-solving and verbal and written communication skills essential
• Excellent verbal and written communication skills
• Ability to work well with others •
Bachelor's Degree BS or higher in biological science, nursing or other health-related discipline Preferred

Pay $26-34/hr based on experience ]]> Mon, 13 Apr 2026 00:00:00 EDT 1 --

The Data Entry Clerk, Manufacturing will work closely with all of the Manufacturing teams to understand and streamline Manufacturing production processes. This position will be responsible for processing production orders, creating labels for Quality Control (QC) samples and bulks made by the Manufacturing teams, working closely with inventory controllers to create Bin locations for purified and conjugated bulks and maintaining their accuracy, and reviewing, verifying, and scanning/attaching batch records into Enterprise Resource Planning (ERP) system. This position will also be responsible for helping the Inventory and Planning teams to resubmit re-test samples and will perform other duties as necessary.

Skills: 

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

· Enter relevant manufacturing data into ERP systems to help complete production orders, and create production labels.

· Assist with batch records; review, verify, and scan batch records.

· Assist manufacturing teams with a variety of administrative tasks.

· Generate weekly and daily electronic reports

· File and maintain data printouts

· Maintain sample and controls inventories

· Perform job duties under ISO requirements and follow SOPs and/or work instructions

· Other projects or responsibilities as required.

Education: 

· High school diploma (or GED) with 6 months of data entry experience; Or

· Associates degree in a science or related field; Or

· Biotechnology Certificate

Preferred Qualifications:

· Prior hands-on experience with Microsoft Navision System (NAV) or other ERP systems

· Some academic or industry laboratory experience

· Basic understanding of manufacturing processes

 

Applicants must be currently authorized to work in the United States on a full-time basis for any employer.
]]> Thu, 09 Apr 2026 00:00:00 EDT 1 We are looking for a seasoned Enterprise Architect to join our team on a contract-to-hire basis. Your goal is to bridge the gap between complex current-state limitations and a streamlined, scalable target state that enables our business and IT partners to thrive. You’ll have a seat at the table for the most "impactful" use cases on our roadmap.

Key Responsibilities & Deliverables
Architecture Strategy & Point of View (PoV) Development
Current State Assessment: Deep dive into existing architectures to identify bottlenecks, technical debt, and scalability limitations.
Option Appraisal: Evaluate multiple architectural alternatives, providing a clear-eyed analysis of pros, cons, costs, risks & impact for each by keeping an unbiased & vendor neutral approach.
Target State Definition: Define robust target state architectures and create Architecture Point of Views (POVs) for high priority use cases in Data, AI, Cloud, Integrations and Collaboration platforms
Standardization: Develop and document architecture best practices, standards and Reference Architectures for common, repeatable use cases to ensure consistency across the enterprise.
Governance & The ARB
ARB Leadership: Present PoVs and architectural designs to the Architecture Review Board (ARB), defending technical choices while remaining open to collaborative refinement.
Process Improvement: Act as a key contributor to the evolution of our EA governance process, making it more agile, effective & non-disruptive.
Finalization: Work closely with the ARB to finalize and formalize all architectural artifacts.
Stakeholder Collaboration & Socialization
Cross-Functional Partnership: Act as the "connective tissue" between Data, Analytics, AI, and Enterprise Integration functions.
Partner Enablement: Socialize finalized standards and best practices with the application / data / solution teams & external consulting partners to ensure high-quality delivery.
Business Alignment: Translate complex technical roadmaps into business value for non-technical stakeholders.

Skills:    
Experience: 15+ years in IT, with at least 5+ years in an Enterprise Architecture role and 5+ years in a Solution / Application / Data Architecture role preferably within the Life Sciences, Med Tech or Healthcare sector

Technical Breadth: Proven experience in Cloud (GCP / AWS), Data Lake & Warehouses (Snowflake), AI/ML (Predictive AI, Generative AI, Agentic AI), Integrations (APIs, Pub-Sub, Streams, File Transfers)

Industry Domain: Prior experience in the Biopharma / Life Sciences industry is recommended or nice-to-have

Domain Knowledge: Familiarity with Life Sciences capabilities, functions (R&D, Drug Development or Clinical, Regulatory, Pharmacovigilance, Manufacturing, Medical Affairs, Commercial), and common GxP / regulated use cases

Education:    
Education: Bachelor’s or master’s degree in Enterprise Architecture, Computer Science, Information Technology, Information Management or a related discipline
Frameworks / Certifications: Certified or strong familiarity with TOGAF, Zachman Ontology Framework or similar EA framework or methodologies (but with a practical, non-dogmatic application mindset)

Minimum Degree Required:  Bachelor's Degree

Pay Range: $70-78/hr *based on experience ]]> Thu, 02 Apr 2026 00:00:00 EDT 1 SUMMARY/JOB PURPOSE:
Bridges the gap between business process knowledge and AI-enabled tooling by translating operational efficiency concepts into automated IT tools. Supports the Business Operations team through dashboard development, IT systems administration, and the design and maintenance of structured AI workflows that help the team work smarter and faster.

Essential Duties And Responsibilities:

• Partners with Business Operations leaders to identify and document operational pain points and efficiency opportunities; translates those concepts into tools that can be deployed across the team
• Designs, builds, and maintains operational dashboards that surface key metrics, contract status, workload visibility, and team performance indicators for internal stakeholders
• Supports IT systems used by the Operations team—including contract lifecycle management (CLM) platforms—by managing configurations, troubleshooting issues, and coordinating with IT partners
• Tests and iterates tools, validating outputs against real operational scenarios and refining prompt logic, context windows, and structured instructions based on user feedback
• Documents AI workflows, skill libraries, and system configurations in a clear, maintainable format so that knowledge can be transferred and built upon by the broader team or future contractors
• Collaborates cross-functionally with Operations and IT to understand evolving workflow needs and propose tool-based solutions that reduce manual effort and improve consistency

EDUCATION/EXPERIENCE/KNOWLEDGE & SKILLS:
Education/Experience:

• Bachelor’s degree (B.A./B.S.) in Information Systems, Computer Science, Business, or a related field preferred; minimum of three years of relevant experience; or equivalent combination of education and experience

Experience/The Ideal for Successful Entry into Job:

• Hands-on experience building or maintaining Claude skills, GPT custom instructions, LangChain chains, or similar structured prompt/workflow assets that encode domain knowledge for repeatable AI-assisted tasks
• Demonstrated ability to listen to non-technical subject matter experts, identify the underlying process or bottleneck, and design a practical AI-assisted or automated solution—prior experience in operations, process improvement, or business analysis roles is a strong differentiator
• Experience building dashboards in tools such as Power BI, Tableau, or similar platforms, with the ability to define KPIs in partnership with stakeholders and translate them into clear, actionable visualizations
• Prior involvement supporting IT systems in an operations or business context—including configuration, user support, and vendor coordination for platforms such as CLM tools, contract repositories, workflow automation systems, or collaboration platforms; pharmaceutical/biotech industry experience a plus

Knowledge/Skills:

• Proficiency with Claude (Anthropic), including experience writing and structuring SKILL.md files, system prompts, or structured context documents that reliably shape AI outputs for specific operational use cases
• Strong analytical and problem-solving skills; comfortable moving between ambiguous, high-level concepts and the precise, structured thinking required to encode those concepts into reliable AI workflows
• Familiarity with Microsoft 365 ecosystem (SharePoint, Teams, Power Platform) and comfort working within enterprise IT environments and governance frameworks
• Ability to work in a fast-paced, team-based environment, managing multiple parallel workstreams across AI development, system support, and stakeholder collaboration
• Strong written and verbal communication skills; able to document technical configurations and AI workflows in plain language accessible to non-technical Operations staff
• Responds well to evolving priorities and ambiguous problem statements; brings structure and calm to fast-moving situations while maintaining quality and attention to detail

  ]]> Wed, 25 Mar 2026 00:00:00 EDT 0