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Zhenyu Xu
▴
10
@zhenyu-xu-6045
Last seen 9.6 years ago
Dear All,
Sorry to bother those who are not interested.
We have 2 open positions at Sophia Genetics
(http://www.sophiagenetics.com)
If you are interested, please contact Dr Zhenyu Xu (zxu at
sophiagenetics.com). The deadline for the application is 31st Aug
2013.
best,
zhenyu
About the company:
Sophia Genetics SA helps clinical laboratories that perform
routine clinical genetic analysis for personalized healthcare to
overcome the cost and complexity related to the bioinformatics
analysis, highly secured banking and reliable interpretation of the
massive quantity of patient data generated by Next Generation
Sequencing. We are situated on the PSE, on the EPFL campus near
Lausanne; 10 minutes walk from Lake Geneva.Our goal is to simplify and
enhance genetic testing providing the most efficient bioinformatics
solution for clinical genetic data analysis.Our solution combines a
client - server data management and visualization tool with a high
performance bioinformatics pipeline to analyze genetic sequence data.
We use a wide range of technology, including JAVA, JavaScript, Hadoop
HDFS and many open source R, C, C++, Python and Perl tools, in a
predominantly Linux environment.The challenge is to provide a
scalable, parallel analysis solution, together with a simple to use
graphical user interface to give geneticists a manageable way to
handle the large amounts of data, and help them interpret the
increasingly complicated results in a compact, graphical way.Today
Sophia Genetics is active in Switzerland and is preparing to enter the
rest of Europe.
Job description 1 (Bioinformatician):
The successful candidates will be involved in clinical next generation
sequence (NGS) data analysis methods development. You will be
responsible for NGS data alignment and variant calling algorithm
development. You will be expected to explore and identify statistical
properties of different NGS experiment design. The successful
candidates should be able to read research publications and catch the
front-end of the algorithm development in clinical NGS application.
As an established startup we want people that are motivated,
enthusiastic and flexible ? you must be willing to get involved with
all aspects of the system. You must be goal driven and able to work
independently on a project to completion as well as being comfortable
in a team.
The successful applicant should have expertise in statistical modeling
ideally with a theoretical / statistical physics background. The
applicant must be able to demonstrate excellence in the following
areas:
? Experience in high-throughput data analysis
? Experience in statistical modelling of large volume data
? Familiarity with common machine learning techniques
? Strong C/C++ skills
? Strong data analysis experience using R/Matlab
Job description 2 (Software Engineer / Developer):
The successful candidate will take the main development role of re-
engineering and optimizing the pipeline for genome sequence alignment
and variant detection. This will involve choosing appropriate
parallelization techniques for currently sequential operations, as
well as the implementation and parallelization of bioinformatics
algorithms. As an established startup we want people that are
motivated, enthusiastic and flexible ? you must be willing to get
involved with all aspects of the system. You must be goal driven and
able to work independently on a project to completion as well as being
comfortable in a team.
You will have an MSc or PhD in Computer Science, Bioinformatics or
equivalent and several years of experience developing applied
numerical solutions.
You will be expected to show the following abilities:
? Good analytical and creative problem solving skills
? C/C++ proficiency including multithreading
? Solid background in algorithmic complexity and string, tree,
indexing etc. algorithms
? Good knowledge of parallelization techniques - MPI, Hadoop
MapReduce, GPU solutions
? Comfortable with script languages such as Python, Perl
? Knowledge of R / Bioconductor would be an advantage
? Previous experience with Exome/WGS data analysis would be an
advantage
? Some experience with JAVA / MySQL would be an advantage