[Statlist] Roche Basel is looking for Bioinformatician for oncology biomarker analyses

[Rufibach, Kaspar]

Job Description — Bioinformatician for oncology biomarker analyses
 Department: Oncology Biomarker Development (OBD)
Location: Basel, Switzerland
Starting time:  as soon as possible
Job Purpose:
We are seeking a highly motivated individual to join the Oncology Biomarker
Development (OBD) department to collaborate with biomarker scientists in
data analytics.
The bioinformatician will work on multiple oncology studies and projects
and provide the necessary bioinformatics and biostatistics skillset for
effective biomarker analyses, including ensuring quality of data, and
leading bioinformatics and biostatistics analyses and visualization.
This position offers the rewarding opportunity to do work that advances
personalized medicine and helps patients, and to work in an environment
that fosters a culture of collaborative scientific investigation and
publication.

Primary Responsibilities and Accountabilities:
• Your activity includes the bioinformatics and statistical analysis of
biomarker data from clinical trials and other research projects in
collaboration with oncology biomarker scientists
• You will be supporting the writing of statistical analysis plans,  and
co-leading the analysis and interpretation of  data together with biomarker
scientists
• You apply and modify bioinformatics methods for biomarker analyses  using
innovative molecular and computational technologies
• You analyze large molecular datasets such as genomic sequence data, or
proteomics data for clinical research
• You ensure the quality of acquired data and their validation and apply
advanced statistical methods to determine and mitigate sources of bias and
noise in complex datasets
• You document analytical methods used in individual studies
• Collaborate with other bioinformatics scientists and biostatistics to
deliver best-in-class solutions and analytics
• Utilize best practices in bioinformatics and biostatistics: design &
planning of analyses, testing, code reviews, collaborative version control
etc.


Professional and Technical Requirements:
• A master’s degree plus a minimum of 3 years of relevant work experience
is required. Relevant fields of studies and work:  bioinformatics,
computational biology, biostatistics, statistics, systems biology,
genetics, genomics or related life science field with significant
quantitative research experience
• Ph.D. degree in a relevant field is highly beneficial

Experience, Skills, Knowledge
• Strong proficiency in R and other high-level programming languages, and
experience in standard bioinformatics toolkits and programs are required
• Applicants with good understanding of concepts in cancer
biology/genomics/immunology and/or familiarity with high-throughput
sequencing and/or expression technologies will be prioritized
• Ability to learn and use new statistical methodology and excellent
analytical skills
• Demonstrated skills and expertise in theoretical and/or applied
biostatistics/bioinformatics, such as probability theory, statistical
genetics, modeling using likelihood and Bayesian methods, hypothesis
testing, and experimental design
• Enjoy working in an international team environment and collaborating with
other bioinformatics scientists, and biomarker scientists
• Excellent communication and documentation skills
• Proven ability to work independently and to work well in a matrix
environment
• Passionate about applying your skills to advance personalized medicine
and help patients
• Proven ability to work successfully under pressure
• Proven planning, organizational, and time management skills
• English: fluency in speaking and writing is a must

Please contact Mikkel Oestergaard for any questions or if you would like to
apply for this role: mikkel.oestergaard using roche.com

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