Job: Scientist III/IV - Bioinformatics, Cancer Immunology-195107 Boehringer Ingelheim Pharmaceutical Ridgefield,CT USA
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Apply Here: https://tas-boehringer.taleo.net/careersection/global+template+career+section+28external29/jobdetail.ftl?job=195107&tz=GMT-04%3A00

BS/MS Level only NO PHD

Job Description - Scientist III/IV - Bioinformatics, Cancer Immunology (195107)

Boehringer Ingelheim is an equal opportunity global employer who takes pride in maintaining a diverse and inclusive culture. We embrace diversity of perspectives and strive for an inclusive environment which benefits our employees, patients and communities.

Scientist III/IV - Bioinformatics, Cancer Immunology-195107

Candidate will be hired at level commensurate with experience and education

Description:

As an active team member of the Exploratory Bioinformatics group within Cancer Immunology and Immune Modulation (CI & IM) at Boehringer-Ingelheim’s US research facility in Ridgefield, CT, the successful candidate will contribute to large-scale analysis and data mining of single-cell genomic data, and to the application of pathology informatics/driven machine learning methods to digitally assess the human tumor microenvironment.

As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, diversity and inclusion, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees

Duties & Responsibilities: Strong scientific understanding and experience in the following: Bioinformatics, Immunology and Oncology Design, implement and/or deploy NGS data analysis workflows for data processing, visualization, integration and mining **Data Visualization: Implement methods for downstream analysis, visualization and interpretation of genomic data sets (e.g., scRNA-seq )

Data Integration:** Analyzing diverse datasets (multi-omics) to find relevant drug discovery targets and downstream effects on immune cell subsets; integration of genomic/transcriptome data with image analysis of tumor microenvironment

Data Mining: Internal, collaborative, and public databases to assist in the immunological characterization of the tumor microenvironment

Select, and benchmark methods and tools, define and perform appropriate QC measures

Apply and develop innovative analysis approaches when standard methods are not adequate

Interpret and present analysis results to coworkers and collaborators

Follow relevant scientific literature to ensure use of optimal methods and understand emerging practices across the field

Demonstrates the ability to interpret the outcome of experiments, propose appropriate follow-up, and may propose new avenues of investigation

Communicates own work effectively orally and in writing; contributes to writing protocols, procedures, and technical reports

Automate processing and results reporting and delivery

Continuously develop scientific and drug development expertise by; publishing in peer-reviewed journals and speaking at internationally-recognized scientific conferences

Reports and treats data with a high level of integrity and ethics

Complies with applicable regulations; Maintains proper records in accordance with SOPs and policies

Scientist III Requirements:

Master’s degree from an accredited institution with three-plus (3+) years of experience in a related scientific discipline (Computer Science, Genomics, Biostatistics or Bioinformatics preferred) OR Bachelor’s degree from an accredited institution with seven-plus (7+) years of experience in a STEM discipline. The successful candidate will have experience with more than one of the following: analyzing next-generation sequencing (NGS) data (e.g., single-cell genomics), functional genomics, facility with statistics for big data analysis, or multi-omics data integration Good knowledge of existing bioinformatics databases and file formats In depth understanding of computational methods for NGS analysis and the usage of public data resources required; good understanding of NGS protocols is a plus Strong hands-on skills in relevant programming languages (e.g., R, Python, UNIX/Linux, UNIX bash shell scripting), statistical software, visualization tools, and relevant R/Bioconductor packages Demonstrated ability to produce well designed and documented code Familiarity with computational biology tools and experience working with computational biologists to solve problems Must enjoy working in a multi-disciplinary and collaborative environment Ability to troubleshoot both individually and as part of a team Mentor junior team members Excellent oral and written skills with the ability to communicate in an open, transparent, timely and consistent manner

Scientist IV Requirements:

Master’s degree from an accredited institution with six-plus (6+) years of experience in a related scientific discipline (Computer Science, Genomics, Biostatistics or Bioinformatics preferred) OR Bachelor’s degree from an accredited institution with ten-plus (10+) years of experience in a STEM discipline. The successful candidate will have experience with more than one of the following; analyzing next-generation sequencing (NGS) data (e.g., single-cell genomics), functional genomics, facility with statistics for big data analysis, or multi-omics data integration Good knowledge of existing bioinformatics databases and file formats In depth understanding of computational methods for NGS analysis and the usage of public data resources required; good understanding of NGS protocols is a plus Strong hands-on skills in relevant programming languages (e.g., R, Python, UNIX/Linux, UNIX bash shell scripting), statistical software, visualization tools, and relevant R/Bioconductor packages Demonstrated ability to produce well designed and documented code Familiarity with computational biology tools and experience working with computational biologists to solve problems Must enjoy working in a multi-disciplinary and collaborative environment Ability to troubleshoot both individually and as part of a team Mentor junior team members Excellent oral and written skills with the ability to communicate in an open, transparent, timely and consistent manner Eligibility Requirements:

Must be legally authorized to work in the United States without restriction. Must be willing to take a drug test and post-offer physical (if required) Must be 18 years of age or older

Our Culture:

Boehringer Ingelheim is one of the world’s top 20 pharmaceutical companies and operates globally with approximately 50,000 employees. Since our founding in 1885, the company has remained family-owned and today we are committed to creating value through innovation in three business areas including human pharmaceuticals, animal health and biopharmaceutical contract manufacturing. Since we are privately held, we have the ability to take an innovative, long-term view. Our focus is on scientific discoveries and the introduction of truly novel medicines that improve lives and provide valuable services and support to patients and their families. Employees are challenged to take initiative and achieve outstanding results. Ultimately, our culture and drive allows us to maintain one of the highest levels of excellence in our industry. We are also deeply committed to our communities and our employees create and engage in programs that strengthen the neighborhoods where we live and work. Boehringer Ingelheim, including Boehringer Ingelheim Pharmaceuticals, Inc., Boehringer Ingelheim USA, Boehringer Ingelheim Animal Health USA, Inc., Merial Barceloneta, LLC and Boehringer Ingelheim Fremont, Inc. is an equal opportunity and affirmative action employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender identity or expression; affectional or sexual orientation; disability; veteran or military status, including protected veteran status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

Boehringer Ingelheim is firmly committed to ensuring a safe, healthy, productive and efficient work environment for our employees, partners and customers. As part of that commitment, Boehringer Ingelheim conducts pre-employment verifications and drug screenings.

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