Associate RWD Solution Consultant
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Job Type | Permanent Full Time |
Location | United Kingdom |
Area | EMEA (other), Rest of World |
Sector | Science |
Salary | Market related |
Currency | gbp |
Start Date | ASAP |
Advertiser | remoteapi |
Job Ref | 1340 |
Job Views | 298 |
- Description
Are you excited about data networks for life sciences? We have an interesting position Associate RWD Solution Consultant position for one of the global leaders in data networks. You will be part of a strong team to support prospective and current key clientele of our clients as they evaluate and then implement their solutions which focus on Real World Data (RWD).
Main Purpose of this role:
You will be our client's Trusted Advisor who will offer extensive advice on the data and regulatory considerations required for their RWD studies as well as the science and technology behind their approach to analysing that data and generating Real World Evidence (RWE) to ultimately bring benefits to patients.
Your key activities as the Associate RWD Solution Consultant:
- Working with the sales team to enable the company to achieve its sales targets. This role sits in the commercial team of our client.
- Working with clients to define their RWD/outcomes and analysis needs. Specifically, they will need to provide oversight and understand the use case and research questions that the client has, the patient population that needs to be targeted, the data elements that need to be provided, the data elements that are/are not available, etc.
- Working with the sales team to build solution proposals for the client's data, regulatory and analysis requirements and to articulate the benefit of working with client and their unique approach.
- Building an understanding with the technical team to define the solution requirements and track the delivery of that solution to the client.
- Providing input on solution requirements to the technical team (ensuring our solutions evolve to deliver on the value promise to our clients now and in the future)
- Understanding the availability of data at sites across multiple therapeutic areas and translating research questions to real-world data requirements to the Data Partnerships team.
- Share your understanding of data sharing and transfer, confidentiality, and privacy regulations with the operations team.
- Present our solution demonstrations to prospects and new potential key accounts/clients and articulate the benefits of working with our client.
Your Competencies:
The successful candidate will have:
- Ability to communicate clearly with cross-functional teams in a global setting.
- Ability to present to multiple levels of a client organisation (Technical, Research, Management).
- Ability to prioritise tasks and ask for guidance to seek clarity.
- Ability to problem solve and suggest recommendations based on experience.
- A strong personal desire to overcome challenges and remain focused on clear team goals.
- Ability to learn new software solutions and analytical tools quickly.
- Ability to articulate the benefits of complex RWD solutions.
- A creative and analytical mindset to participate in the development of fit-for-purpose solutions for RWD and RWE.
- A curious mindset that desires to learn new skills and make an impact in a team setting.
Your Education & Experience:
- 3-5 years of experience working in either drug development (e.g. CRO/BioPharma as a clinical trial data analytics or a former CRA or CRO PM) with a willingness to learn data science and clients technology OR, Experience with Bioinformatics and Data Science at Research Site Level with a willingness to learn the drug development industry and clients technology.
- Knowledge of GCP (Good Clinical Practice), HIPAA and GDPR and its applicability to RWD and technology solutions.
- Understanding of genomics or willingness to learn.
- Understanding of healthcare and clinical data including Real World Data or willingness to learn.
- Experience or familiarity with working with clinical data types (EHR, phenotypic, images, NGS and multi-omic data) or willingness to learn.
- Ideally, experience or familiarity with statistical programming languages (R, Python).
- Ideally, experience or familiarity with tools to undertake big data analysis (SQL, Spark, cloud platforms - AWS, Azure, Google).
- Experience working with Pharma Industry RWD End Users.
- Fluency in English.
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