Data Analyst RESEARCH NEUROLOGY kl

Site: The Brigham and Women's Hospital, Inc.

Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.

New budgeted research role

Job Summary
Summary

A computational data analyst position is available to support the Khurana Lab and Division of Movement Disorders at Brigham and Woman's Hospital. We seek an applicant to i) perform analysis of high-throughput genomic and other omics data to enable novel discovery in Parkinson's disease and related degenerative movement disorders in collaboration with computer scientists in the laboratories of Shamil Sunyaev at Harvard Medical School, and ii) manage multi-omic and clinical data collected through the Harvard Biomarker Study, a longitudinal study of Parkinson's disease patients and healthy controls. We study the molecular basis of synucleinopathies such as, Parkinson's, multiple systems atrophy, progressive supranuclear palsy, etc with the goal of identifying novel therapeutic targets. We develop and utilize a range of multi-omic tools to analyze in vitro and in vivo experimental models as well as human genetic and single cell datasets. The Khurana Lab operates within a highly collaborative environment where both bench biologist and computer scientists work together with clinicians, clinician-scientists and genetics counselors. In this case, the applicant will work closely with the multidisciplinary team to facilitate understanding the genetic basis of these diseases with the goal of developing precision medicines and gene-targeted therapies. Beyond genomic and omics analyses, the candidate will work with genetic study coordinators to ensure secure storage, update, and maintenance of paired genetic and clinical data from HBS 2.0 and facilitate downstream discovery. Strong computational, organizational, and communication skills are desired for this position. More senior candidates will be considered for a Research Scientist or Senior Research Scientist positions with Research Associate appointments at Brigham and Women's Hospital and Harvard Medical School.

Does this position require Patient Care?
No

Essential Functions
- Performs common/rare variant analyses including repeat and long-read sequencing analyses in collaboration with computer scientists in labs of Shamil Suyaev and Peter Park facilitating novel gene discovery.
-Manages HBS study database in collaboration with MassGeneral Brigham IT services and genetic study coordinators. This includes creating a relational database in SQL, regularly updating the data tables by pulling data from third-party software platforms, backing up the data at regular intervals, performing quality control, validation and error detection on each data point, and ensuring data security and integrity.
-Runs standard omics analysis pipelines on datasets generated in-house as well by collaborators via in vitro and in vivo experimental models.
-Applies and adapts existing statistical and omics tools to achieve new biological insights from unique biological datasets.
-Works closely with bench scientists to understand and help accomplish their research goals.
-Writes and runs basic queries as needed.
-Assists in maintaining existing reporting systems.
-Contributes to presentations to key stakeholders.
-Works with senior analysts to design, maintain, and distribute reports.
-Learn leading practice analysis methodologies.
-Conducts continuous analysis of current performance and accurately forecast data trends.

Qualifications

Education

Bachelors required. MSc or PhD in Computer Science, Mathematics in a biological science or relevant field recommended.

Experience
Data Analysis Experience 0-1 year preferred

Knowledge, Skills and Abilities

-Experience with existing bioinformatics tools or pipelines to perform standard next-generation sequencing (NGS) data analysis, incl. genomic, transcriptomic, epigenomic, and others.

-Developing or adapting new algorithms and pipelines to support customized data analysis.

-Strong computational genomics experience in at least two or more of the following NGS techniques: Single-cell and bulk tissue RNA-Seq, spatial transcriptomics, small RNA-Seq, ATAC-Seq, ChIP-Seq, whole-genome sequencing (WGS), whole-exome sequencing (WES), Hi-C, etc.

-Experience in Programing with JavaScript Object Notation (JSON), R, Python that focus on computational biological applications.

-Experience in SQL database creation and management, writing stored procedures and queries for databases.

-Experience in writing programs using APIs to pull data from multiple third-party softwares.

-Experience in Shell scripting.

-Physical Server Administration.

-Security Compliance: HIPAA.

-Good organizational skills, detail oriented.

-Experience with common bioinformatics and genomic browsers [NCBI, Genbank, UCSC].

-Understanding the user of bioinformatics tools including common NGS tools [BWA, samtools, GATK].

-Ability to work in a highly collaborative and intellectually challenging environment.

-Ability to demonstrate professionalism.

-Ability to demonstrate critical thinking and creative problem-solving abilities.

-Ability to prepare manuscripts for presentation and publication.

-Must work independently.

-Excellent oral and written communication skills.

-Building proficiency in statistics, data analysis, and data sets.
-Proficient in time management and project management skills.
-Ability to exercise sound judgment to make decisions within the scope of job responsibilities.
-Demonstrated knowledge of and skill in word processing, spreadsheet, and database PC applications.
-Solid quantitative, analytical, and technical aptitude skills.
-Participate in dealing with all levels of employees /management and building proficient relationships with teams and all organizational customers.
-Able to find and define problems, understand business impact, identify solutions, and provide recommendations for corrective action.

For applications please contact:

Dr. Daniel El Kodsi

Additional Job Details (if applicable)

Remote Type

Onsite

Work Location

60 Fenwood Road

Scheduled Weekly Hours

40

Employee Type

Regular

Work Shift

Day (United States of America)

Pay Range
$52,000.00 - $74,401.60/Annual

Grade
5

At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package.

EEO Statement:

2200 The Brigham and Women's Hospital, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at .

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