Bioinformatician job opening at Stanford# JobHunting - 待字闺中
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Job Description
Biostatistician 2 - 69226
Description
Stanford University is seeking a Biostatistician 2 to support two basic
science research laboratories with moderate level of independence, to define
hypotheses, design studies and devise analysis plans. Work with senior
Bioinformatician(s) to implement analysis plan and publish findings. Present
results orally to clinical and basic science investigators. Provide
guidance to clinical and basic science investigators on design and analysis
issues. Technologies currently in use include next generation sequencing
platforms, gene expression arrays, mass spectrometry, custom tiling arrays,
and full-genome functional genetics screens. A Master’s degree in
bioinformatics, computer biology, statistics or related field with two year
of relevant experience is required. Ph.D. degree desired. Previous
experience with analysis of high throughput data and large datasets from the
aforementioned platforms using established software is required. Previous
experience in NGS analysis pipeline development is desired. In addition,
applicants will need to have familiarity with scripting languages (Perl/
Python, R, or other languages and environments) to automate customized data
analysis pipelines to test directed biological hypotheses with available
data. Algorithm development and some background in biology are also highly
desired. The successful candidate should have a demonstrated ability to
work with biologists to apply computational approaches to their experiments
as well as the ability to facilitate the development of others’
bioinformatics skills. Applicant is expected to have proficient Linux
experience. Applicants must possess good communication and team skills and
be fluent in both spoken and written English.
Duties include:
Design study.
Develop and implement protocol for quality control.
Create analytic files with detailed documentation.
Select appropriate statistical tools for addressing a given research
question.
Implement data analysis through statistical programming.
Present results for investigators using graphs and tables.
Summarize findings orally and in written form.
Participate in the preparation of papers for publication.
Consult with investigators on appropriate statistical approaches to data
analyses; assist in study design and proposal development.
Mentor collaborators in areas of experimental design, quality control, and
statistical analysis
Develop oral and written dissemination of findings for conference
presentations and peer-reviewed journal articles.
Oversee lower-level staff on issues related to quality control and creation
of analysis files.
* - Other duties may also be assigned
Qualifications
DESIRED QUALIFICATIONS:
Proficient in Perl or Python, R, and shell script is highly desired.
Algorithm development and background in biology are also highly desired.
Previous experience with analysis of high throughput data and large datasets
from the required platforms using established software is desired
Ability to develop new methods for NGS data analysis is desired
EDUCATION & EXPERIENCE (REQUIRED):
Master’s degree in Bioinformatics, Statistics, Computational Biology or
related fields is required.
PREFERRED:
Ph.D. in Bioinformatics, Statistics, Computational Biology or related fields
Experience with NGS data processing is required.
Experience in Perl/Python, R and shell script is required.
Experience with NGS analysis pipeline development is required
Biological Knowledge
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
Proficient in at least two of R, SAS, SPSS, or STATA.
Skills in descriptive analysis, modeling of data, and graphic interfaces.
Outstanding ability to communicate technical information to both technical
and non-technical audiences.
Demonstrated excellence in at least one area of expertise, which may include
coordinating studies; statistical methodology such as missing data,
survival analysis, statistical genetics, or informatics; statistical
computing; database design (e.g., expertise in RedCAP or MySQL); graphical
techniques (e.g., expertise in Illustrator).
DESIRED:
Experience with bioinformatic and statistical analysis of multiple sources
of data generated from high-throughput experimentation.
Proficiency in Linux/UNIX system
Proficiency with scripting languages (Perl/Python, R, or other languages/
platforms) to create customized data analysis pipelines.
Must have some scientific knowledge in biology
CERTIFICATIONS & LICENSES:
None
PHYSICAL REQUIREMENTS*:
Frequently perform desk based computer tasks, seated work and use light/
fine grasping.
Occasionally stand, walk, and write by hand, lift, carry, push pull objects
that weigh up to 10 pounds.
* - Consistent with its obligations under the law, the University will
provide reasonable accommodation to any employee with a disability who
requires accommodation to perform the essential functions of his or her job.
WORKING CONDITIONS:
May work extended or non-standard hours based on project or business cycle
needs, especially under publication competition, grant due, or meeting/
conference presentations.
Job: Information Analytics
Location: School of Medicine
Schedule: Full-time
Classification Level: I
Job Description
Biostatistician 2 - 69226
Description
Stanford University is seeking a Biostatistician 2 to support two basic
science research laboratories with moderate level of independence, to define
hypotheses, design studies and devise analysis plans. Work with senior
Bioinformatician(s) to implement analysis plan and publish findings. Present
results orally to clinical and basic science investigators. Provide
guidance to clinical and basic science investigators on design and analysis
issues. Technologies currently in use include next generation sequencing
platforms, gene expression arrays, mass spectrometry, custom tiling arrays,
and full-genome functional genetics screens. A Master’s degree in
bioinformatics, computer biology, statistics or related field with two year
of relevant experience is required. Ph.D. degree desired. Previous
experience with analysis of high throughput data and large datasets from the
aforementioned platforms using established software is required. Previous
experience in NGS analysis pipeline development is desired. In addition,
applicants will need to have familiarity with scripting languages (Perl/
Python, R, or other languages and environments) to automate customized data
analysis pipelines to test directed biological hypotheses with available
data. Algorithm development and some background in biology are also highly
desired. The successful candidate should have a demonstrated ability to
work with biologists to apply computational approaches to their experiments
as well as the ability to facilitate the development of others’
bioinformatics skills. Applicant is expected to have proficient Linux
experience. Applicants must possess good communication and team skills and
be fluent in both spoken and written English.
Duties include:
Design study.
Develop and implement protocol for quality control.
Create analytic files with detailed documentation.
Select appropriate statistical tools for addressing a given research
question.
Implement data analysis through statistical programming.
Present results for investigators using graphs and tables.
Summarize findings orally and in written form.
Participate in the preparation of papers for publication.
Consult with investigators on appropriate statistical approaches to data
analyses; assist in study design and proposal development.
Mentor collaborators in areas of experimental design, quality control, and
statistical analysis
Develop oral and written dissemination of findings for conference
presentations and peer-reviewed journal articles.
Oversee lower-level staff on issues related to quality control and creation
of analysis files.
* - Other duties may also be assigned
Qualifications
DESIRED QUALIFICATIONS:
Proficient in Perl or Python, R, and shell script is highly desired.
Algorithm development and background in biology are also highly desired.
Previous experience with analysis of high throughput data and large datasets
from the required platforms using established software is desired
Ability to develop new methods for NGS data analysis is desired
EDUCATION & EXPERIENCE (REQUIRED):
Master’s degree in Bioinformatics, Statistics, Computational Biology or
related fields is required.
PREFERRED:
Ph.D. in Bioinformatics, Statistics, Computational Biology or related fields
Experience with NGS data processing is required.
Experience in Perl/Python, R and shell script is required.
Experience with NGS analysis pipeline development is required
Biological Knowledge
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
Proficient in at least two of R, SAS, SPSS, or STATA.
Skills in descriptive analysis, modeling of data, and graphic interfaces.
Outstanding ability to communicate technical information to both technical
and non-technical audiences.
Demonstrated excellence in at least one area of expertise, which may include
coordinating studies; statistical methodology such as missing data,
survival analysis, statistical genetics, or informatics; statistical
computing; database design (e.g., expertise in RedCAP or MySQL); graphical
techniques (e.g., expertise in Illustrator).
DESIRED:
Experience with bioinformatic and statistical analysis of multiple sources
of data generated from high-throughput experimentation.
Proficiency in Linux/UNIX system
Proficiency with scripting languages (Perl/Python, R, or other languages/
platforms) to create customized data analysis pipelines.
Must have some scientific knowledge in biology
CERTIFICATIONS & LICENSES:
None
PHYSICAL REQUIREMENTS*:
Frequently perform desk based computer tasks, seated work and use light/
fine grasping.
Occasionally stand, walk, and write by hand, lift, carry, push pull objects
that weigh up to 10 pounds.
* - Consistent with its obligations under the law, the University will
provide reasonable accommodation to any employee with a disability who
requires accommodation to perform the essential functions of his or her job.
WORKING CONDITIONS:
May work extended or non-standard hours based on project or business cycle
needs, especially under publication competition, grant due, or meeting/
conference presentations.
Job: Information Analytics
Location: School of Medicine
Schedule: Full-time
Classification Level: I