BOL: My posts on The Opportunity

Bioinformatician at 23andMe

Sat, 06 May 2017 17:57:39 -0500

23andMe’s mission is to help people access, understand, and benefit
from the human genome. We are a group of passionate individuals excited
to push the boundaries of what’s possible to help turn genetic insight
into better health and personal understanding.

Our Research Team prides itself on driving cutting edge, industrial-scale
science to make an impact that belies the team’s size, in an environment
and culture that fosters creativity, innovation, collaboration, and fun.

More than 80% of our customers consent to participate in research, and as
a result of their participation, we have one of the largest recontactable,
genotyped, and phenotyped research cohorts in the world. The scope and
breadth of our vision means that most of the methods and tools necessary
to unlock the potential of this unique resource for discovery have yet
to be developed.

Our science has garnered the respect of many members of the
broader scientific community. For a list of our publications, see
www.23andme.com/publications/for-scientists/.

Join us! Visit our Careers page (www.23andMe.com/careers) to learn more
about these open positions:

• Scientist, Research Communications
• Bioinformaticist
• Computational Biologist, Ancestry R&D
• Scientist/Senior Scientist, Statistical Genetics
• Scientist/Senior Scientist, Survey Methodology
• Scientist/Senior Scientist, Health R&D
• Senior Computational Biologist
• Biostatistician

pfontanillas@23andme.com

Open Positions in Pasini’s lab

Sat, 04 Feb 2017 08:17:18 -0600

Computational Biologists
Open to PhD-student and Post-doc candidates
We are looking for wet and computational biologists to work on an ERC funded project in our
laboratory located at the Department of Experimental Oncology of the European Institute of
Oncology in Milan (Italy). The project will focus on different aspects of the function of Polycomb
Group proteins and other chromatin modifying activities in relation to their role in regulating cellular
identity in the development of adult tissues.
The candidates will be in charge of computational analysis and data management related to the
project. She/he will directly interact with the wet scientists working in our laboratory while working
embedded in the community of computational biologists present at our institution. The work will
involve the analysis of sequencing data produced with cutting edge technologies to study gene
expression and chromatin environment including data produced on rare cell populations and single
cells. The applicants must have a good knowledge of programming in python/perl/java along with
strong statistical background and performing analysis in R platform. A biological background is
also recommended however it’s not mandatory for application.
Each applicant should submit a full CV (with a detailed description of her/his background,
expertise, achievements and publication records) together with a letter of intent and at least two
contacts for recommendations (for a post-doc position). Competitive salary will be offered based
on the experience of the candidate. Non Italian as well as Italian applicants that have been working
outside Italy (>3yrs.) will have the opportunity to benefit of a full tax deduction for the first three
years of contract.
Applications should be submitted as single PDF to diego.pasini@ieo.it

Lab https://www.ieo.it/en/RESEARCH/People/Researchers/Pasini-Diego/

11th International Joint Conference on Biomedical Engineering Systems and Technologies

Wed, 01 Feb 2017 17:39:27 -0600

BIOSTEC, the 11th International Joint Conference on Biomedical Engineering Systems and Technologies.
Registration to BIOINFORMATICS allows free access to all other BIOSTEC conferences.

Upcoming Deadlines
Regular Paper Submission: July 31, 2017
Regular Paper Authors Notification: October 16, 2017
Regular Paper Camera Ready and Registration: October 30, 2017

The purpose of the International Conference on Bioinformatics Models, Methods and Algorithms is to bring together researchers and practitioners interested in the application of computational systems, algorithmic concepts and information technologies to address challenging problems in Biomedical research with a particular focus on the emerging problems in Bioinformatics and computational biology. There is a tremendous need to explore how mathematical, statistical and computational models can be used to better understand biological processes and systems, while developing new methodologies and tools to analysis the massive currently-available biological data. Areas of interest to this community include systems biology, sequence analysis, biostatistics, image analysis, network and graph models, scientific data management and data mining, machine learning, pattern recognition, computational evolutionary biology, computational genomics and proteomics, and related areas.