Sr Biostatistician – Novartis Pharmaceuticals – East Hanover, NJ

Job Description:
The Biomarker Data Analyst contributes to drug development efforts by providing high-quality and timely statistics and bioinformatics expertise in the areas of Biomarker data analysis, integration and interpretation.Provide high added value to BDB components of drug projects:
 Analyze biomarker data from Novartis clinical trials according to specified timelines and report findings back to global clinical project teams
 Although there is a research component, the biomarker statistician role is more operational in nature and timeline driven
 Work closely with Correlative Scientists to provide strategic input into how biomarkers should be analyzed and guide trial statisticians to provide the standard output. Develop general strategic guidance.
 Work with the clinical study teams to respond to health authority questions on biomarker data
 Analyze and interpret biomarker data and integrate statistical results in their biological context. Present results, conclusions and future plans to project team members and scientists.
 Ensure timeliness and high quality contribution to all Biostatistics’ deliverables, e.g. protocol, study set-up, analysis plan, analysis reports and publications.
 Advise and educate biomarker/clinical scientists on the adequate use of statistical and bioinformatics techniques.
 Establish and maintain sound working relationships and effective communication within Biomarkers and Diagnostics Biometrics (BDB) and BDM.
 Follow processes and adhere to Novartis and project specific standards as well as Health Authority requirements (SOPs, BGs, Master Analysis Plan, GCP, and regulatory guidelines).
 Participate in or lead non-clinical project activities as needed.

EEO Statement
The Novartis Group of Companies are Equal Opportunity Employers and take pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.

Minimum requirements
PhD Degree in Statistics, Data mining, Bioinformatics or related field required and 0 – 3 years expeience; Languages: Fluent English (oral and written).
Proven knowledge and expertise in statistics, data mining and/or bioinformatics and their applications to clinical trials. Experience with a wide range of advanced statistical methods. Strong analytical capabilities and data exploration skills.
 Proven knowledge of general statistical software packages (e.g. SAS, R/Splus/MATLAB). Knowledge of specialized statistical/data mining tools are desirable.
 Excellent communication, presentation and consultancy skills.
 Superior collaboration skills with ability to work with non-statisticians and cross-functional teams
 Creative mind with good problem solving skills.
 Background knowledge and/or strong interest in life sciences.
 Familiarity with assay development and common laboratory techniques is desirable.
 Good understanding of molecular biology and diagnostic development is desirable.
 Knowledge of bioinformatics tools and databases such as the NCBI and UCSC Genome Browser, BLAST, Primer3, GEO is desirable.
 Knowledge of pathway analysis and tools such as Ingenuity Pathway Analysis and GeneGo’s MetaCore is desirable.
 Experience using relational databases such as SQL Server, Oracle or MySQL is desirable.
 Experience in Oncology Statistics and/or pre-clinical statistics/genomics, and/or regulatory activities would be advantageous.
 Experience in main tasks of a program statistician and as a team leader for experienced candidates is desirable

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Requeriments :

• Doctorate Degree
• M.Sc. or higher Degree in Bioinformatics

Skills :

• Bioinformatics
• Biology
• MySQL
• SQL
• SQL
• Statistics

Areas :

• Bioinformatics

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