Responsible for conducting applied research in scientific area of focus. Investigating applicable solutions through rigorous, protracted studies and ensuring that a quality, integrated solution is delivered in a timely manner, at budget, and to our client's satisfaction. This involves working closely with the client to understand and manage their expectations, as well as working closely with Oracle and third-party vendors to ensure delivery.
An experienced professional who is responsible for applying scientific, clinical, healthcare knowledge to provide solutions that meet customers' needs. As a member of the team, demonstrates expertise to deliver research studies, analysis, presentations, and reports on moderately complex customer engagements. Introduces innovative research collection and analysis methodologies on external customer engagements with full autonomy. Work involves using specialized skills sufficient to interpret data/instructions and applying the relevant research techniques, methodologies with wide discretion. Recommends and implements improvements in research techniques. Possesses solid knowledge in reference to creating project and client-related research materials. May lead the solution design and implementation aspects of engagement(s), ensuring high-quality solutions are presented to the customer.
Minimum Qualifications: Bachelors or Advanced degree in a discipline relevant to area of focus, plus 4 years related work experience. At least 6 years total combined related work experience and completed higher education. Depending on the job, there may be additional minimum requirements and/or preferred qualifications.
Cerner Enviza is a leading global healthcare consulting firm and trusted advisor to many of the world’s top pharmaceutical, biotech, and medical device & diagnostic companies. By supporting the work of Cerner Enviza, you will work with world-class healthcare companies, helping them improve global access to medicines by connecting science and research. Cerner Enviza is passionate about our people, our business, and our clients and is proud to foster a culture that contributes to the health and well-being of humankind.
With ongoing and ground-breaking developments in Oncology and Rare Disease, an increased focus on more scientific, targeted medicine and continuous integration of technology into the development and delivery of medicine, there has never been a more exciting time to work in Life Sciences and, with Cerner Enviza immersed in all of these, there has never been a better time to join us and make a difference to our clients and the lives of patients.
Thanks to our business growth, Cerner Enviza is looking for a new talented Senior Biostatistician with R Programming and some knowledge of Patient Studies / PRO for the Real World Evidence projects.
You will be a key player in the development of our ongoing activity related to patient-centric studies, namely Epi. Studies, Preference Studies, Patient Reported Outcomes surveys, Burden / Quality of Life studies, but also Physicians’ surveys or Chart reviews.
As a Senior Biostatistician, you will be responsible for all statistical aspects of diverse projects, including experimental design, analysis, and your input as an advisor or responsible for the statistical components of proposals will be key. Your expertise in statistics, analytical thinking, and a deep insight into the data will allow you to research, advise, recommend and implement new innovative designs for complex studies, enforce and advise statistical processes and contribute to delivering high-quality outcomes, fit-for-purpose statistical solutions to our clients.
You will be surrounded by passionate colleagues in an open and engaging environment. You will be given room to work on a large variety of topics and continuously develop yourself together with some of the best within their expertise.
MISSION
* Be Subject Matter Expert (SME) for biostatistics expertise in the team and for client discussions;
* Demonstrate good understanding of client business issues;
* Direct relationship with clients on Biostats matters at the proposal stage and all along the projects;
* Lead the biostatistics activities in the team;
* Work synergistically within the project team to provide statistical inputs in the development of the Biostat sections in the proposals (including sample size calculations and power estimation), and participate in bid defense meetings, if needed;
* Act as a primary point of contact for the study team on the Biostat activities/questions - communicate with team members regarding execution as it relates to types of analysis, timelines, budget, data quality, data analysis and interpretation of results;
* Provide expert statistical input, coordinate and/or develop Biostat sections in protocols, statistical analysis plans, table shells, and programming specifications and review and validate all needed deliverables;
* Analyze findings, interpretation and recommendations of final results to meet client needs;
* Participate in the presentation of results to clients;
* Supervise junior team members on projects;
* Provide statistical methods training sessions, coach, and mentor junior team members;
* Adopt emergent analytical methodologies, tools and applications to ensure fit-for-purpose to answer the research question;
Qualification:
* MSc or PhD in Statistics, Biostatistics, or related field;
* Ideally between 5-8 years of relevant experience in a bio/pharma/CRO;
* Fluency in English C2;
* Good knowledge in R tool and STATA;
* Good knowledge of programming logic, SQL and macro programming;
* In-depth knowledge of study designs, and statistical analysis;
* Excellent knowledge and application of a wide variety of principles, theories, and concepts in statistics and experimental design;
* Excellent communication skills – able to distill issues, manage client expectations and act as a trusted advisor in a timely manner;
* Ability to work effectively in a team in a fast-paced and dynamic environment;
* Experience in Preference studies and in PRO development and PRO validation studies would be a plus;
* Knowledge of clinical trials statistical methodologies, control arm studies/external control arm studies, regulatory statistical expectations, in terms of propensity matching scores and statistical software packages would also be a plus;
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