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Instrumentation Control Programmer
Summary of Position:
Q-State Biosciences is seeking a highly skilled programmer to develop instrumentation control software to automate high-throughput optical electrophysiology measurements and data handling. We have developed a technique that makes neurons literally light up when they fire. Recording and processing this information requires innovations in high-speed imaging and data handling. You will work closely with Q-State’s scientific and management teams to push our capabilities, throughput, quality, and reliability to the next level. The code you write will be responsible for accurately and dependably generating terabytes of data per day that feeds into our custom analysis pipeline. You will learn more working at Q-State than you ever imagined.
About the Company
Q-State Biosciences is a fast-paced intellectually stimulating startup, with a world-class team spanning optical instrumentation, computation, neuroscience, and stem cell biology. We are looking for brilliant and highly motivated people, interested in tackling complex instrumentation challenges whose solution can make a difference in patients’ lives.
Q-State’s mission is to develop precision diagnostics and treatments for disorders of the nervous and cardiac systems through the interrogation of human cellular and animal models of disease using advanced measurement technologies.
Q-State has developed an all-optical electrophysiology platform for controlling and recording electrical activity in rodent and human-derived neurons. The platform combines proprietary, ultrasensitive optogenetic actuators and voltage reporters, stem cell technology and advanced optical imaging. We use custom instrumentation and software to probe cellular physiology with sub-micron spatial resolution and sub-millisecond temporal resolution. Q-State technology probes dynamic cellular physiology with far higher throughput and information content than any other technology.
Q-State is a well-funded startup company with about 30 employees located in Cambridge, MA. We offer full benefits and competitive compensation.
Learn more at http://www.qstatebio.com.
Responsibilities and Duties
- Develop control systems for high-throughput optical electrophysiology instrumentation, including
- High-speed video
- Multi-channel analog and digital signal processing
- Robotics, fluid handling, and environmental controls
- Digital micromirror-based structured illumination
- Create rapid custom control solutions for emerging optoelectronic needs
- Develop pipelines to handle terabytes of video data and manage cloud-based storage
- Collaborate with other team members to ensure that instrumentation meets rigorous specifications for performance and reliability
Minimum Qualifications Required
- Experience in MATLAB and Python
- Familiarity with microscopy equipment and automation
- Ability to write clean and efficient control software
- Knowledge of fundamentals of Object-Oriented Programming
- Ability to work independently and in cross-functional teams
- Flexibility to work in a startup atmosphere
- Excellent oral, written and interpersonal communication skills
Additional Qualifications Desired
- Experience in C#, Windows, Linux, SQL/NoSQL databases, and/or cloud compute (e.g. AWS)
- Git or other collaborative version control
- Basic knowledge of optics and optical instrumentation
[posted April 10, 2017]
Full Time Postdoctoral Position
A postdoctoral position in biostatistics/data science is available at the Icahn School of Medicine at Mount Sinai. The successful candidate will be joining the Suarez-Farinas Lab, a collaborative group, involving the Center for Biostatistics and the Department of Genetics and Genomic Sciences. Our primary focus is analysis of high-dimensional biomarker studies coupled with mechanistic clinical trials, as well as the development of precision medicine algorithms for food allergy, psoriasis and Inflammatory Bowel Syndrome.
We seek capable and self-motivated individuals who have earned a doctoral degree or foreign equivalent in an interdisciplinary, data-driven field, with educational emphasis in statistics/bioinformatics/data science/machine learning /statistics. Additional qualifications include: a superior academic performance, proficiency in R, Python, experience with handling of BIG data and an ability to be self-directed with broadly-defined limits on assignments; excellent communication skills, both oral and written; and a demonstrated ability to interact efficiently with diverse people in a highly multidisciplinary environment. Job description: The applicant is expected to show excellence in independently conducting analyses of high dimensional data (such RNA sequence and proteomic data) including but not limited to applying methods for normalization and quality control (QC), statistical modeling, machine learning algorithms. This is a full-time, two-year postdoctoral position. Candidates may not have more than five years of postdoctoral experience including that from other institutions.
Review of applications will begin. Interested individuals should send a CV and the names of three references to Dr. Suarez-Farinas (firstname.lastname@example.org) with a subject line “postdoc position”).
Mayte Suarez-Farinas, PhD
Associate Professor of Biostatistics
Dept. of Population Health Science and Policy
Dept. of Genetics and Genomics Science
Icahn Institute for Genomics and Multiscale Biology
Icahn School of Medicine at Mount Sinai
1425 Madison Ave, L2-70C, Box 1077,
New York, NY 10029
P (212) 659-9678
F (212) 423-2998
[posted March 28, 2017]