Location
Cambridge, MA
Compensation
$155k–$190k USD
Type
full time
Posted
6 months ago
Remote
Yes
Market range · function + seniority
p25 · target · p75 · n=266
Posted $190k · well below market
Posting health
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Company Overview:
Beam Therapeutics is a biotechnology company committed to establishing the leading, fully integrated platform for precision genetic medicines. To achieve this vision, Beam has assembled a platform with integrated gene editing, delivery and internal manufacturing capabilities. Beam’s suite of gene editing technologies is anchored by base editing, a proprietary technology that is designed to enable precise, predictable and efficient single base changes, at targeted genomic sequences, without making double-stranded breaks in the DNA. This has the potential to enable a wide range of therapeutic editing strategies that Beam is using to advance a diversified portfolio of base editing programs. Beam is a values-driven organization committed to its people, cutting-edge science, and a vision of providing life-long cures to patients suffering from serious diseases.
Position Overview:
Beam is looking for a highly talented and motivated Senior Manager, Statistical Programming, to join our growing Statistical Programming team in the Biometrics department. The senior manager will be responsible for developing and maintaining statistical programming functions within a therapeutic area to support various clinical studies and submissions to ensure successful execution for Beam’s clinical programs. In this role, you will work with the lead of statistical programming to develop statistical programming strategies and timelines. You will manage CROs, oversee programming activities and provide timely support to the cross-functional teams on statistical programming matters according to the project strategies and requests.
Responsibilities:
Qualifications:
The salary range below reflects the full-time base salary range we expect to pay for this role at the time of posting. Base pay will be determined based on several factors including, but not limited to, relevant experience, education, scope of job, internal comparisons, and market data.
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