[BioC] Job advertisement

[Alexandre Kuhn]

Bioconductors,

a bioinformatician position is currently open at Pfizer, Cambridge, UK. An
excerpt from the job description is reproduced below (as well as the full
job description). You can contact Caroline Benn <Caroline.Benn at pfizer.com>
or Lee Harland <lee.harland at pfizer.com> for more details.

Alexandre

---
Excerpt

Job Focus
An exciting opportunity has arisen at our Cambridge, UK facility for a
skilled bioinformatics scientist to
assist in the generation, analysis and interpretation of large-scale
molecular profiling data. A key focus
of the role initially will be to utilise genomic profiling to construct a
comprehensive map of the molecular
basis of retinal cell generation.
Reporting to the head of bioinformatics, the successful candidate will work
closely with our molecular
biologists to design and implement transcriptomic and epigenetic
experiments.

Responsibilities
Key responsibilities include:
. Provide informatics-support to the design of Pfizer Regenerative Medicine
molecular profiling projects.
. Creation of data analysis pipelines for the Q/C and normalization of
genomic data
. Development of algorithms and methodologies for integration of multiple
datasets
. Identification and/or development of analysis algorithms to analyse
high-throughput data
. Biological interpretation through Gene Set, Pathways & transcriptional
network analysis
.Presentation & publication at internal and external meetings/journals.
. Be responsible for analyzing large datasets from molecular profiling
studies and interpretation of these
results within the biological system under investigation
. Lead the design & implementation of strategies concerning integration of
multiple genomic datasets.
. Build a strong relationship with key groups within Pfizer, and form
strong, productive collaborations
with academic groups and groups in companies outside of Pfizer.

Qualifications
The successful candidate will have the following attributes:
. Recently qualified with a PhD in a relevant scientific discipline or a PhD
and experience in a similar
role
. Interest in stem cell biology and its application to human disease.
. Good understanding of the scientific principles of high-throughput genomic
data such as microarray,
ChIP-Seq and next-generation sequencing..
. Practical experience with primary data analysis such as QC, normalization
and statistical modelling
through tools such as R/Bioconductor
. Knowledge of third-party and public domain software for the analysis of
genomic data
. Practical experience with the integration of transcriptome, epigenome and
micro-RNA data and the
interpretation of this data across different domains
. Good working knowledge of scripting languages such as Perl and genomic
resources such as
Ensembl, GEO etc. Experience with pathways and transcription network
analysis would be desirable.

---
Full job description:

Job Title: Bioinformatician: Genomic Profiling
Job ID: 932674
Location: United Kingdom-Cambridge
Full/Part Time: Full-Time
Regular/Temporary: Regular
Org Marketing Statement
Imagine a career that touches the lives of people everywhere. Imagine an
opportunity to reach beyond
your area of expertise to make an impact on something greater than the
bottom line. Imagine playing a
key role in some of the most critical issues facing healthcare today. This
is your career at Pfizer - a
career unlike any other.
Department Marketing Statement
Pfizer Regenerative Medicine is a new biotech like research unit, with
research facilities in both
Cambridge UK and Boston USA. We work at the forefront of science using the
latest developments in
stem cell biology to bring novel treatments straight to patients to prevent
disability, repair failing organs
and to treat degenerative diseases.
We currently have a number of exciting programmes, including efforts
focussing upon neuroregeneration
and pancreatic beta cell generation. In addition we have recently announced
a pioneering
collaboration with Professor Pete Coffey at the Institute for Ophthalmology
in London to develop stem
cell therapies to treat macular degeneration. As a key step towards clinical
trials we are seeking to
further understand the biological events in the differentiation of stem
cells into therapeutically relevant
retinal cell types.
For us, this is the start of a new era of medicine - and Pfizer Regenerative
Medicine will not only be part
of it, but shape it.
Job Focus
An exciting opportunity has arisen at our Cambridge, UK facility for a
skilled bioinformatics scientist to
assist in the generation, analysis and interpretation of large-scale
molecular profiling data. A key focus
of the role initially will be to utilise genomic profiling to construct a
comprehensive map of the molecular
basis of retinal cell generation.
Reporting to the head of bioinformatics, the successful candidate will work
closely with our molecular
biologists to design and implement transcriptomic and epigenetic
experiments.
Responsibilities
Key responsibilities include:
. Provide informatics-support to the design of Pfizer Regenerative Medicine
molecular profiling projects.
. Creation of data analysis pipelines for the Q/C and normalization of
genomic data
. Development of algorithms and methodologies for integration of multiple
datasets
. Identification and/or development of analysis algorithms to analyse
high-throughput data
. Biological interpretation through Gene Set, Pathways & transcriptional
network analysis
.Presentation & publication at internal and external meetings/journals.
. Be responsible for analyzing large datasets from molecular profiling
studies and interpretation of these
results within the biological system under investigation
. Lead the design & implementation of strategies concerning integration of
multiple genomic datasets.
. Build a strong relationship with key groups within Pfizer, and form
strong, productive collaborations
with academic groups and groups in companies outside of Pfizer.
Qualifications
The successful candidate will have the following attributes:
. Recently qualified with a PhD in a relevant scientific discipline or a PhD
and experience in a similar
role
. Interest in stem cell biology and its application to human disease.
. Good understanding of the scientific principles of high-throughput genomic
data such as microarray,
ChIP-Seq and next-generation sequencing..
. Practical experience with primary data analysis such as QC, normalization
and statistical modelling
through tools such as R/Bioconductor
. Knowledge of third-party and public domain software for the analysis of
genomic data
. Practical experience with the integration of transcriptome, epigenome and
micro-RNA data and the
interpretation of this data across different domains
. Good working knowledge of scripting languages such as Perl and genomic
resources such as
Ensembl, GEO etc. Experience with pathways and transcription network
analysis would be desirable
Equal Employment Opportunity
PGRD's aim is to provide equality of opportunity in the recruitment process
by avoiding discrimination
on the grounds of: age, sex (physical characteristics you were born with),
marital status, gender (self
identity), sexual orientation, religion or belief, disability, colour,
national or ethnic origin, political
persuasion or trade union membership.
At Pfizer we are creating an organisation and promoting a culture that
respects each individual's unique
character and life experiences, and reflects the diversity of our customers
and markets. We will achieve
this through fostering and sustaining an environment in which every
colleague feels valued and
supported, thus enabling superior business results.
Closing Statement
To apply, PLEASE FOLLOW THE ONLINE APPLICATION PROCESS. The requisition
number for this
vacancy is 932674.
Please include specific information regarding your skills and abilities for
this particular role to assist us in
assessing your suitability.
To view other vacancies in the group please search on the keywords
'Regenerative Medicine'.
Please advise us if you have any particular needs to support your attendance
and full participation in the
interview. Likewise, if you would like written correspondence with you to
feature a larger font size,
please contact us on 01304 649922 or alternatively please detail the
assistance you require on the
bottom of your CV.
PLEASE DO NOT INCLUDE YOUR AGE OR DATE OF BIRTH IN YOUR RESUME/CV AS THIS
INFORMATION IS NOT REQUIRED FOR YOUR APPLICATION.
Foreign nationals whose eligibility to work requires sponsorship or
maintenance of valid immigration status may not be eligible for this
position.
Relocation Package Available
Management retains right to change the job specifications and provisions of
this job as appropriate.