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Integration Analyst Intern (Part-time; June 17th - December 6th, Location: Boston, MA)

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Location: Boston, Massachusetts, United States

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Description

Panalgo's mission is to improve healthcare through innovative analytics. Our remarkable platform, Instant Health Data (IHD), brings together researchers to generate insights into improving population health, quality of care, efficiency of medical research, and managing costs by transforming the way analysts from diverse disciplines answer critical questions and make insightful predictions. Panalgo provides novel solutions to allow the worlds largest life science companies, health plans, and provider groups to better understand the clinical outcomes and value of various patient care strategies.

Now, Panalgo is proud to be a part of Norstella, an organization that consists of market-leading pharmaceutical solutions providers united under one goal: to improve patient access to life-saving therapies. Within this organization, Panalgo plays a key role in helping clinical and commercial stakeholders understand the real-world implications of payer and prescriber behavior and helping clients connect the dots from pipeline to patient.
Panalgo is seeking a part-time Integration Analyst Intern to join our expanding Data team. In this position, your responsibilities will include managing diverse healthcare data sources and standardizing incoming data for use in our IHD platform. We are looking for proactive individuals who take ownership of their roles, collaborate effectively, and consistently seek opportunities for personal and professional growth. By the end of the program, the Integration Analyst Intern will have added multiple projects to their professional portfolio, including planning and mapping an entire datasource to the IHD standard data model.

Responsibilities:

  • Map healthcare related data elements to a standard data model.
  • Verify the extraction and normalization specifications applied to client data.
  • Create and maintain data mapping documentation.
  • Work closely with team members in the investigation of data anomalies.
  • All other duties, as assigned.

Requirements:

  • Masters or PhD student in relevant area (e.g., economics, health economics, business, data science, etc).
  • Proficiency in SQL.
  • Proficient understanding of clinical processes and vocabulary.
  • Proficient knowledge of health information systems including EMR, and claims processing.
  • Proficient knowledge of relational database systems.
  • Demonstrated analytical, organizational, creative problem solving and structured communication skills.
  • Ability to manage time and prioritize tasks.
  • Attention for fine details and work processes.
  • Highly analytical and enjoys solving mysteries.
  • Enjoys a fast-paced environment and the opportunity to quickly learn new skills.
  • Ability to work creatively and flexibly, both independently and as part of a team.
Location:
Must be located in the Boston, MA area and be able to be present in the Boston office 20 hours per week.
Note, due to data access restrictions, employees are required to be living in the United States during their time of employment. All candidates must be authorized to work in the United States. We do not provide visa sponsorship or transfers. We are not currently accepting candidates who are on an OPT visa.
The expected base salary for this position ranges from $35.00 to $40.00 per hour, 20 hours a week. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered.
Panalgo provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
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