Bioinformatics Data Engineer
Spectraforce
Verdi, California
29 minutes ago
Job Description
Job Title: Bioinformatics Data Engineer
Location: Foster City, CA
Duration: 7 Months
We are seeking a Bioinformatics Data Engineer to spearhead the development of an AI-first ecosystem aimed at transforming the drug discovery landscape. This role demands a proactive individual with a profound understanding of machine learning, AI, and bioinformatics, poised to deliver innovative solutions that accelerate the validation and identification of novel drugs. The ideal candidate will have extensive experience in managing and analyzing large-scale biological data, understanding its intricacies, and using this data to train robust machine learning models.
Key Responsibilities:
• Architect and Develop AI-Driven Ecosystems: Design and develop an advanced AI-driven data ecosystem to facilitate efficient and accurate drug target discovery.
• Implement Scalable Machine Learning Models: Design and implement scalable machine learning models and data pipelines to analyze complex biological datasets, including genomic, transcriptomic, and imaging data.
• Cloud Platform Utilization: Utilize modern cloud platforms to deploy machine learning solutions and manage large-scale data storage and computation.
• Advanced AI Techniques: Innovate and apply state-of-the-art AI techniques, including deep neural networks, to extract insights from large and diverse datasets.
• Collaborate on Drug Discovery Strategies: Work with interdisciplinary teams to translate experimental data into actionable drug discovery strategies.
• Continuous Technology Integration: Stay at the forefront of AI, machine learning, and bioinformatics, continuously integrating new technologies and methodologies to enhance data-driven decision-making.
Minimum Qualifications:
• Educational Background: PhD in Computer Science, Bioinformatics, Statistics, or a related quantitative field.
• Machine Learning Expertise: Solid experience with AI and machine learning tools and frameworks.
• Programming Proficiency: Proficient in Python and R, with a strong track record of developing and deploying applications in a cloud environment.
• Experience with Biological Datasets: Demonstrated ability in handling complex biological datasets, including consortium and atlas-type data, and applying advanced statistical and machine learning methods to solve real-world problems.
Preferred Skills:
• Data Handling Expertise: Extensive experience in data harmonization, normalization, and preprocessing of large-scale biological datasets to ensure their readiness for machine learning applications.
• Understanding of Biological Data Nuances: Deep understanding of the nature, limitations, and pitfalls of biological datasets and the ability to apply this knowledge systematically in data cleaning and management.
• Advanced Machine Learning Techniques: Expertise in genetic algorithms, ensemble methods, and unsupervised learning techniques, with a focus on their application to biological data.
• Analytical Skills: Excellent analytical skills, with the ability to see beyond the numbers to the strategic implications of the data.
• Collaboration and Communication: Strong communication and collaboration skills, with experience working in agile, cross-functional teams.
• Passion for Innovation: A strong passion for using AI to drive innovations in health technology and drug discovery.
About Us: Established in 2004, SPECTRAFORCE® is one of the largest and fastest-growing diversity-owned staffing firms in the US. The growth of our company is a direct result of our global client service delivery model that is powered by our state-of-the-art A.I. proprietary talent acquisition platform, robust ISO 9001:2015/ISO 27001 certified processes, and strong and passionate client engaged teams. We have built our business by providing talent and project-based solutions, including Contingent, Permanent, and Statement of Work (SOW) services to over 140 clients in the US, Canada, Puerto Rico, Costa Rica, and India. Key industries that we service include Technology, Financial Services, Life Sciences, Healthcare, Telecom, Retail, Utilities and Transportation. SPECTRAFORCE is built on a concept of “human connection,” defined by our branding attitude of NEWJOBPHORIA®, which is the excitement of bringing joy and freedom to the work lifestyle so our people and clients can reach their highest potential. Learn more at: http://www.spectraforce.com
Benefits: SPECTRAFORCE offers ACA compliant health benefits as well as dental, vision, accident, critical illness, voluntary life, and hospital indemnity insurances to eligible employees. Additional benefits offered to eligible employees include commuter benefits, 401K plan with matching, and a referral bonus program. SPECTRAFORCE provides unpaid leave as well as paid sick leave when required by law.
Equal Opportunity Employer: SPECTRAFORCE is an equal opportunity employer and does not discriminate against any employee or applicant for employment because of race, religion, color, sex, national origin, age, sexual orientation, gender identity, genetic information, disability or veteran status, or any other category protected by applicable federal, state, or local laws. Please contact Human Resources at LOA@spectraforce.com if you require reasonable accommodation.
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $70.00/hr.
Location: Foster City, CA
Duration: 7 Months
We are seeking a Bioinformatics Data Engineer to spearhead the development of an AI-first ecosystem aimed at transforming the drug discovery landscape. This role demands a proactive individual with a profound understanding of machine learning, AI, and bioinformatics, poised to deliver innovative solutions that accelerate the validation and identification of novel drugs. The ideal candidate will have extensive experience in managing and analyzing large-scale biological data, understanding its intricacies, and using this data to train robust machine learning models.
Key Responsibilities:
• Architect and Develop AI-Driven Ecosystems: Design and develop an advanced AI-driven data ecosystem to facilitate efficient and accurate drug target discovery.
• Implement Scalable Machine Learning Models: Design and implement scalable machine learning models and data pipelines to analyze complex biological datasets, including genomic, transcriptomic, and imaging data.
• Cloud Platform Utilization: Utilize modern cloud platforms to deploy machine learning solutions and manage large-scale data storage and computation.
• Advanced AI Techniques: Innovate and apply state-of-the-art AI techniques, including deep neural networks, to extract insights from large and diverse datasets.
• Collaborate on Drug Discovery Strategies: Work with interdisciplinary teams to translate experimental data into actionable drug discovery strategies.
• Continuous Technology Integration: Stay at the forefront of AI, machine learning, and bioinformatics, continuously integrating new technologies and methodologies to enhance data-driven decision-making.
Minimum Qualifications:
• Educational Background: PhD in Computer Science, Bioinformatics, Statistics, or a related quantitative field.
• Machine Learning Expertise: Solid experience with AI and machine learning tools and frameworks.
• Programming Proficiency: Proficient in Python and R, with a strong track record of developing and deploying applications in a cloud environment.
• Experience with Biological Datasets: Demonstrated ability in handling complex biological datasets, including consortium and atlas-type data, and applying advanced statistical and machine learning methods to solve real-world problems.
Preferred Skills:
• Data Handling Expertise: Extensive experience in data harmonization, normalization, and preprocessing of large-scale biological datasets to ensure their readiness for machine learning applications.
• Understanding of Biological Data Nuances: Deep understanding of the nature, limitations, and pitfalls of biological datasets and the ability to apply this knowledge systematically in data cleaning and management.
• Advanced Machine Learning Techniques: Expertise in genetic algorithms, ensemble methods, and unsupervised learning techniques, with a focus on their application to biological data.
• Analytical Skills: Excellent analytical skills, with the ability to see beyond the numbers to the strategic implications of the data.
• Collaboration and Communication: Strong communication and collaboration skills, with experience working in agile, cross-functional teams.
• Passion for Innovation: A strong passion for using AI to drive innovations in health technology and drug discovery.
About Us: Established in 2004, SPECTRAFORCE® is one of the largest and fastest-growing diversity-owned staffing firms in the US. The growth of our company is a direct result of our global client service delivery model that is powered by our state-of-the-art A.I. proprietary talent acquisition platform, robust ISO 9001:2015/ISO 27001 certified processes, and strong and passionate client engaged teams. We have built our business by providing talent and project-based solutions, including Contingent, Permanent, and Statement of Work (SOW) services to over 140 clients in the US, Canada, Puerto Rico, Costa Rica, and India. Key industries that we service include Technology, Financial Services, Life Sciences, Healthcare, Telecom, Retail, Utilities and Transportation. SPECTRAFORCE is built on a concept of “human connection,” defined by our branding attitude of NEWJOBPHORIA®, which is the excitement of bringing joy and freedom to the work lifestyle so our people and clients can reach their highest potential. Learn more at: http://www.spectraforce.com
Benefits: SPECTRAFORCE offers ACA compliant health benefits as well as dental, vision, accident, critical illness, voluntary life, and hospital indemnity insurances to eligible employees. Additional benefits offered to eligible employees include commuter benefits, 401K plan with matching, and a referral bonus program. SPECTRAFORCE provides unpaid leave as well as paid sick leave when required by law.
Equal Opportunity Employer: SPECTRAFORCE is an equal opportunity employer and does not discriminate against any employee or applicant for employment because of race, religion, color, sex, national origin, age, sexual orientation, gender identity, genetic information, disability or veteran status, or any other category protected by applicable federal, state, or local laws. Please contact Human Resources at LOA@spectraforce.com if you require reasonable accommodation.
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $70.00/hr.